Repository: SamEdwardes/spacytextblob (language: python)

Issue:
ModuleNotFoundError: No module named 'textblob.translate' from textblob-de
## Background

This is related to https://github.com/markuskiller/textblob-de/issues/24.

## Options

- Pin textblob to <= to 0.15.2 as suggsted in https://github.com/markuskiller/textblob-de/issues/24.
- Drop support for textblob-de

## Details

```python
Users/samedwardes/projects/personal/spacytextblob/tests/test_textblob.py::test_textblob_de failed: def test_textblob_de():
>       from textblob_de import TextBlobDE

tests/test_textblob.py:109: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.venv/lib/python3.12/site-packages/textblob_de/__init__.py:9: in <module>
    from textblob_de.blob import TextBlobDE, BlobberDE, Word, WordList, Sentence
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

    # -*- coding: utf-8 -*-
    # Code adapted from the main `TextBlob`_ library.
    #
    # :repo: `https://github.com/sloria/TextBlob`_
    # :source: textblob/blob.py
    # :version: 2013-10-21 (a88e86a76a)
    #
    # :modified: 2014-09-17 <m.killer@langui.ch>
    #
    """Wrappers for various units of text.
    
    This includes the main :class:`TextBlobDE <textblob_de.blob.TextBlobDE>`,
    :class:`Word <textblob_de.blob.Word>`, and :class:`WordList <textblob_de.blob.WordList>` classes.
    
    Whenever possible, classes are inherited from the main `TextBlob`_ library, but in many
    cases, the models for German have to be initialised here in :py:mod:`textblob_de.blob`, resulting
    in a lot of duplicate code. The main reason are the :class:`Word <textblob_de.blob.Word>` objects.
    If they are generated from an inherited class, they will use the English models
    (e.g. for ``pluralize``/``singularize``) used in the main library.
    
    Example usage: ::
    
        >>> from textblob_de import TextBlobDE
        >>> b = TextBlobDE("Einfach ist besser als kompliziert.")
        >>> b.tags
        [('Einfach', 'RB'), ('ist', 'VB'), ('besser', 'RB'), ('als', 'IN'), ('kompliziert', 'JJ')]
        >>> b.noun_phrases
        WordList([])
        >>> b.words
        WordList(['Einfach', 'ist', 'besser', 'als', 'kompliziert'])
    
    .. _TextBlob: http://textblob.readthedocs.org/
    
    """
    from __future__ import absolute_import
    
    import json
    import sys
    
    from collections import defaultdict, namedtuple
    
    from textblob.blob import _initialize_models
    from textblob.decorators import cached_property, requires_nltk_corpus
>   from textblob.translate import Translator
E   ModuleNotFoundError: No module named 'textblob.translate'

.venv/lib/python3.12/site-packages/textblob_de/blob.py:44: ModuleNotFoundError
```


Discussion / hints:

Fix patch:
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index f3bb475..d20e021 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -4,13 +4,12 @@
 
 ## Development environment
 
-### poetry
+### uv
 
-`poetry` is used to manage python dependencies. See the docs on how to install python [https://python-poetry.org/](https://python-poetry.org/). To activate the poetry virtual environment run the following commands:
+`uv` is used to manage python dependencies. Run the following to install `uv`:
 
 ```bash
-poetry install
-poetry shell
+curl -LsSf https://astral.sh/uv/install.sh | sh
 ```
 
 ### just
@@ -19,10 +18,8 @@ poetry shell
 
 ## Code formatting
 
-Please use the [black](https://black.readthedocs.io/en/stable/) for formatting code before submitting a PR.
-
 ```bash
-black spacytextblob
+just format
 ```
 
 ## Testing
@@ -30,7 +27,11 @@ black spacytextblob
 Please validate that all tests pass before submitting a PR by running:
 
 ```bash
-pytest
+# Test against the latest supported version of Python
+just test
+
+# Tet against all supported versions of Python
+just test-matrix
 ```
 
 ## Docs
@@ -38,5 +39,5 @@ pytest
 To build the docs and visually inspect the docs please run:
 
 ```bash
-just docs
+just preview-docs
 ```
diff --git a/docs/api.md b/docs/api.md
index 0d077a9..8c3380b 100644
--- a/docs/api.md
+++ b/docs/api.md
@@ -34,7 +34,6 @@ When adding *spacytextblob* to your spaCy pipeline you can optionally pass addit
 
 | Name | Type | Description |
 |------|------|-------------|
-| `blob_only` | `bool` | If True, *spacytextblob* will only expose `._.blob` and not attempt to expose `._.polarity`, `._.subjectivity`, or `._.assessments`. This should always be set to True when using TextBlob extensions. By default `False`. |
 | `custom_blob` | `Dict[str, str]` | The `"custom_blob"` key should be assigned to a dictionary that tells spaCy what function to replace `textblob.TextBlob` with. In this case, we want to replace it with `TextBlobDE`. The key of the dictionary is `"@misc"`. This tells spaCy to look into the misc section of the spaCy register. The value should be the string name of a function that you have registered with spaCy. See the [TextBlob extensions](tutorial/textblob_extensions.md) section for more details. |
 
 
@@ -45,7 +44,6 @@ from spacytextblob.spacytextblob import SpacyTextBlob
 nlp = spacy.load("de_core_news_sm")
 
 nlp.add_pipe( "spacytextblob", config={
-    "blob_only": ...,     # bool
     "custom_blob": ...    # Dict[str, str]
 })
 ```
@@ -61,5 +59,5 @@ Using *spacytextblob* without an extension:
 Using *spacytextblob* with an extension:
 
 ```python
-{! docs/static/reference_code/textblob_de_example.py !}
+{! docs/static/reference_code/textblob_fr_example.py !}
 ```
diff --git a/docs/changelog.md b/docs/changelog.md
index 1562775..02c9918 100644
--- a/docs/changelog.md
+++ b/docs/changelog.md
@@ -1,5 +1,17 @@
 # Changelog
 
+## 5.0.0 (2024-10-12)
+
+**Breaking changes**
+
+- Update supported Python versions from 3.9 to 3.12.
+- Removed support for the `textblob-de` extension. See [#25](https://github.com/SamEdwardes/spacytextblob/issues/25) for more details.
+- Removed support for accessing `._.polarity`, `._.sentiment`, `._.subjectivity`, and `._.assessments`. Now, only the `._.blob` attribute is exposed. All other textblob attributes should be access through it. For example: `._.blob.polarity`, `._.blob.sentiment`, `._.blob.subjectivity`, and `._.blob.sentiment_assessments.assessments`. This simplifies the code base and makes it easier to maintain. Lastly, this means that the config option `{"blob_only": bool}` was removed.
+
+**Other changes**
+
+- Use `uv` instead of `poetry`.
+
 ## 4.0.0 (2022-02-19)
 
 - New custom attribute `doc._.blob`, `span._.blob`, `token._.blob`.
diff --git a/docs/static/reference_code/spacytextblob_example.py b/docs/static/reference_code/spacytextblob_example.py
index b1232fa..bebb30a 100644
--- a/docs/static/reference_code/spacytextblob_example.py
+++ b/docs/static/reference_code/spacytextblob_example.py
@@ -1,7 +1,8 @@
 import spacy
-from spacytextblob.spacytextblob import SpacyTextBlob
 
-nlp = spacy.load('en_core_web_sm')
+from spacytextblob.spacytextblob import SpacyTextBlob  # noqa: F401
+
+nlp = spacy.load("en_core_web_sm")
 text = "I had a really horrible day. It was the worst day ever! But every now and then I have a really good day that makes me happy."
 nlp.add_pipe("spacytextblob")
 doc = nlp(text)
@@ -16,4 +17,4 @@
 # [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
 
 print(doc._.blob.ngrams())
-# [WordList(['I', 'had', 'a']), WordList(['had', 'a', 'really']), WordList(['a', 'really', 'horrible']), WordList(['really', 'horrible', 'day']), WordList(['horrible', 'day', 'It']), WordList(['day', 'It', 'was']), WordList(['It', 'was', 'the']), WordList(['was', 'the', 'worst']), WordList(['the', 'worst', 'day']), WordList(['worst', 'day', 'ever']), WordList(['day', 'ever', 'But']), WordList(['ever', 'But', 'every']), WordList(['But', 'every', 'now']), WordList(['every', 'now', 'and']), WordList(['now', 'and', 'then']), WordList(['and', 'then', 'I']), WordList(['then', 'I', 'have']), WordList(['I', 'have', 'a']), WordList(['have', 'a', 'really']), WordList(['a', 'really', 'good']), WordList(['really', 'good', 'day']), WordList(['good', 'day', 'that']), WordList(['day', 'that', 'makes']), WordList(['that', 'makes', 'me']), WordList(['makes', 'me', 'happy'])]
\ No newline at end of file
+# [WordList(['I', 'had', 'a']), WordList(['had', 'a', 'really']), WordList(['a', 'really', 'horrible']), WordList(['really', 'horrible', 'day']), WordList(['horrible', 'day', 'It']), WordList(['day', 'It', 'was']), WordList(['It', 'was', 'the']), WordList(['was', 'the', 'worst']), WordList(['the', 'worst', 'day']), WordList(['worst', 'day', 'ever']), WordList(['day', 'ever', 'But']), WordList(['ever', 'But', 'every']), WordList(['But', 'every', 'now']), WordList(['every', 'now', 'and']), WordList(['now', 'and', 'then']), WordList(['and', 'then', 'I']), WordList(['then', 'I', 'have']), WordList(['I', 'have', 'a']), WordList(['have', 'a', 'really']), WordList(['a', 'really', 'good']), WordList(['really', 'good', 'day']), WordList(['good', 'day', 'that']), WordList(['day', 'that', 'makes']), WordList(['that', 'makes', 'me']), WordList(['makes', 'me', 'happy'])]
diff --git a/docs/static/reference_code/textblob_de_example.py b/docs/static/reference_code/textblob_de_example.py
index 98d1c36..996af3d 100644
--- a/docs/static/reference_code/textblob_de_example.py
+++ b/docs/static/reference_code/textblob_de_example.py
@@ -1,22 +1,21 @@
 import spacy
-from spacytextblob.spacytextblob import SpacyTextBlob
 from textblob_de import TextBlobDE
 
+from spacytextblob.spacytextblob import SpacyTextBlob  # noqa: F401
 
-text = '''
-Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss 
-unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider 
+text = """
+Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss
+unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider
 habe ich nur noch EUR 3.50 in meiner Brieftasche.
-'''
+"""
+
 
 @spacy.registry.misc("spacytextblob.de_blob")
 def create_de_blob():
     return TextBlobDE
 
-config = {
-    "blob_only": True,
-    "custom_blob": {"@misc": "spacytextblob.de_blob"}
-}
+
+config = {"custom_blob": {"@misc": "spacytextblob.de_blob"}}
 
 nlp = spacy.load("de_core_news_sm")
 nlp.add_pipe("spacytextblob", config=config)
diff --git a/docs/static/reference_code/textblob_example.py b/docs/static/reference_code/textblob_example.py
index 852e61c..535c71c 100644
--- a/docs/static/reference_code/textblob_example.py
+++ b/docs/static/reference_code/textblob_example.py
@@ -13,4 +13,4 @@
 # [(['really', 'horrible'], -1.0, 1.0, None), (['worst', '!'], -1.0, 1.0, None), (['really', 'good'], 0.7, 0.6000000000000001, None), (['happy'], 0.8, 1.0, None)]
 
 print(blob.ngrams())
-# [WordList(['I', 'had', 'a']), WordList(['had', 'a', 'really']), WordList(['a', 'really', 'horrible']), WordList(['really', 'horrible', 'day']), WordList(['horrible', 'day', 'It']), WordList(['day', 'It', 'was']), WordList(['It', 'was', 'the']), WordList(['was', 'the', 'worst']), WordList(['the', 'worst', 'day']), WordList(['worst', 'day', 'ever']), WordList(['day', 'ever', 'But']), WordList(['ever', 'But', 'every']), WordList(['But', 'every', 'now']), WordList(['every', 'now', 'and']), WordList(['now', 'and', 'then']), WordList(['and', 'then', 'I']), WordList(['then', 'I', 'have']), WordList(['I', 'have', 'a']), WordList(['have', 'a', 'really']), WordList(['a', 'really', 'good']), WordList(['really', 'good', 'day']), WordList(['good', 'day', 'that']), WordList(['day', 'that', 'makes']), WordList(['that', 'makes', 'me']), WordList(['makes', 'me', 'happy'])]
\ No newline at end of file
+# [WordList(['I', 'had', 'a']), WordList(['had', 'a', 'really']), WordList(['a', 'really', 'horrible']), WordList(['really', 'horrible', 'day']), WordList(['horrible', 'day', 'It']), WordList(['day', 'It', 'was']), WordList(['It', 'was', 'the']), WordList(['was', 'the', 'worst']), WordList(['the', 'worst', 'day']), WordList(['worst', 'day', 'ever']), WordList(['day', 'ever', 'But']), WordList(['ever', 'But', 'every']), WordList(['But', 'every', 'now']), WordList(['every', 'now', 'and']), WordList(['now', 'and', 'then']), WordList(['and', 'then', 'I']), WordList(['then', 'I', 'have']), WordList(['I', 'have', 'a']), WordList(['have', 'a', 'really']), WordList(['a', 'really', 'good']), WordList(['really', 'good', 'day']), WordList(['good', 'day', 'that']), WordList(['day', 'that', 'makes']), WordList(['that', 'makes', 'me']), WordList(['makes', 'me', 'happy'])]
diff --git a/docs/static/reference_code/textblob_fr_example.py b/docs/static/reference_code/textblob_fr_example.py
index 78c6f3b..c730c24 100644
--- a/docs/static/reference_code/textblob_fr_example.py
+++ b/docs/static/reference_code/textblob_fr_example.py
@@ -1,21 +1,21 @@
 import spacy
-from spacytextblob.spacytextblob import SpacyTextBlob
 from textblob import Blobber
-from textblob_fr import PatternTagger, PatternAnalyzer
+from textblob_fr import PatternAnalyzer, PatternTagger
+
+from spacytextblob.spacytextblob import SpacyTextBlob  # noqa: F401
+
 
 @spacy.registry.misc("spacytextblob.fr_blob")
 def create_fr_blob():
     tb = Blobber(pos_tagger=PatternTagger(), analyzer=PatternAnalyzer())
     return tb
 
-config = {
-    "blob_only": True,
-    "custom_blob": {"@misc": "spacytextblob.fr_blob"}
-}
+
+config = {"custom_blob": {"@misc": "spacytextblob.fr_blob"}}
 
 nlp_fr = spacy.load("fr_core_news_sm")
 nlp_fr.add_pipe("spacytextblob", config=config)
-text = u"Quelle belle matinée"
+text = "Quelle belle matinée"
 doc = nlp_fr(text)
 
 print(doc)
@@ -23,4 +23,4 @@ def create_fr_blob():
 print(doc._.blob)
 # Quelle belle matinée
 print(doc._.blob.sentiment)
-# Quelle belle matinée
\ No newline at end of file
+# (0.8, 0.8)
diff --git a/docs/tutorial/textblob_extensions.md b/docs/tutorial/textblob_extensions.md
index 8a34e68..6c7794d 100644
--- a/docs/tutorial/textblob_extensions.md
+++ b/docs/tutorial/textblob_extensions.md
@@ -9,76 +9,49 @@ TextBlob supports adding custom models and new languages through “extensions
 ```python linenums="1"
 import spacy
 from spacytextblob.spacytextblob import SpacyTextBlob
-from textblob_de import TextBlobDE # (1)
+from textblob import Blobber
+from textblob_fr import PatternTagger, PatternAnalyzer # (1)
 
+text = u"Quelle belle matinée"
 
-text = '''
-Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss 
-unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider 
-habe ich nur noch EUR 3.50 in meiner Brieftasche.
-'''
+@spacy.registry.misc("spacytextblob.fr_blob") # (2)
+def create_fr_blob():
+    tb = Blobber(pos_tagger=PatternTagger(), analyzer=PatternAnalyzer())
+    return tb # (3)
 
-@spacy.registry.misc("spacytextblob.de_blob") # (2)
-def create_de_blob():
-    return TextBlobDE # (3)
+nlp_fr = spacy.load("fr_core_news_sm")
 
-
-nlp = spacy.load("de_core_news_sm")
-
-nlp.add_pipe(
-    "spacytextblob",  # (4)
+nlp_fr.add_pipe(
+    "spacytextblob", # (4)
     config={ # (5)
-        "blob_only": True, # (6)
-        "custom_blob": {"@misc": "spacytextblob.de_blob"} # (7)
+        "custom_blob": {"@misc": "spacytextblob.fr_blob"} # (6)
     }
 )
-doc = nlp(text)
 
-print(doc._.blob.sentences)
-# [Sentence("Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag."), Sentence("Ich muss unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen."), Sentence("Aber leider habe ich nur noch EUR 3.50 in meiner Brieftasche.")]
+doc = nlp_fr(text)
 
+print(doc)
+# Quelle belle matinée
+print(doc._.blob)
+# Quelle belle matinée
 print(doc._.blob.sentiment)
-# Sentiment(polarity=0.0, subjectivity=0.0)
-
-print(doc._.blob.tags)
-# [('Heute', 'RB'), ('ist', 'VB'), ('der', 'DT'), ('3.', 'LS'), ('Mai', 'NN'), ('2014', 'CD'), ('und', 'CC'), ('Dr.', 'NN'), ('Meier', 'NN'), ('feiert', 'NN'), ('seinen', 'PRP$'), ('43.', 'CD'), ('Geburtstag', 'NN'), ('Ich', 'PRP'), ('muss', 'VB'), ('unbedingt', 'RB'), ('daran', 'RB'), ('denken', 'VB'), ('Mehl', 'NN'), ('usw.', 'IN'), ('für', 'IN'), ('einen', 'DT'), ('Kuchen', 'JJ'), ('einzukaufen', 'NN'), ('Aber', 'CC'), ('leider', 'VBN'), ('habe', 'VB'), ('ich', 'PRP'), ('nur', 'RB'), ('noch', 'IN'), ('EUR', 'NN'), ('3.50', 'CD'), ('in', 'IN'), ('meiner', 'JJ'), ('Brieftasche', 'NN')]
+# (0.8, 0.8)
 ```
 
 1. Load the TextBlob extension package.
-2. For a function to be used inside the NLP pipeline you must register the function with spacy using `@spacy.registry.misc()`. You can name the function what ever you like. For the example I have registered the function with the name `"spacytextblob.de_blob"`.
-3. *spacytextblob* is able to support TextBlob extensions by replacing the default `textblob.TextBlob` with an alternative. In the case of the [textblob-de](https://github.com/markuskiller/textblob-de) extension they provide an alternative blob that you can import (`from textblob_de import TextBlobDE`).
+2. For a function to be used inside the NLP pipeline you must register the function with spacy using `@spacy.registry.misc()`. You can name the function what ever you like. For the example I have registered the function with the name `"spacytextblob.fr_blob"`.
+3. *spacytextblob* is able to support TextBlob extensions by replacing the default `textblob.TextBlob` with an alternative.
 4. Add *spacytextblob* to your spaCy pipeline as you normally would.
 5. The `config` parameter allows you to pass additional configuration options to the *spacytextblob* pipeline.
-6. When using a TextBlob extension you should always set `"blob_only": True`. The extension may modify the textblob.TextBlob object. By setting `"blob_only": True` *spacytextblob* will only expose `._.blob` and not attempt to expose `._.polarity`, `._.subjectivity`, or `._.assessments`.
-7. The `"custom_blob"` key should be assigned to a dictionary that tells spaCy what function to replace `textblob.TextBlob` with. In this case, we want to replace it with `TextBlobDE`. The key of the dictionary is `"@misc"`. This tells spaCy to look into the misc section of the spaCy register. The value should be the string name of the function that we registered above in line 12.
+6. The `"custom_blob"` key should be assigned to a dictionary that tells spaCy what function to replace `textblob.TextBlob` with. In this case, we want to replace it with `TextBlobDE`. The key of the dictionary is `"@misc"`. This tells spaCy to look into the misc section of the spaCy register. The value should be the string name of the function that we registered above in line 12.
 
 ## Extensions
 
 The following extensions have been tested and are supported. Other extensions may work, but have not been tested.
 
-### textblob-de
-
-textblob-de is a TextBlob extensions that enables German language support for TextBlob by Steven Loria ([https://github.com/markuskiller/textblob-de](https://github.com/markuskiller/textblob-de)). 
-
-```bash
-pip install textblob-de
-```
-
-To use it with *spacytextblob* First install a spaCy model that supports German ([https://spacy.io/models/de](https://spacy.io/models/de)):
-
-```bash
-python -m spacy download de_core_news_sm
-```
-
-The code below demonstrates how you can then use and access textblob-de within *spacytextblob*.
-
-```python linenums="1"
-{! docs/static/reference_code/textblob_de_example.py !}
-```
-
 ### textblob-fr
 
-textblob-fr is a TextBlob extension that enables French language support for TextBlob ([https://github.com/sloria/textblob-fr](https://github.com/sloria/textblob-fr)). 
+textblob-fr is a TextBlob extension that enables French language support for TextBlob ([https://github.com/sloria/textblob-fr](https://github.com/sloria/textblob-fr)).
 
 ```bash
 pip install textblob-fr
@@ -96,9 +69,14 @@ The code below demonstrates how you can then use and access textblob-fr within *
 {! docs/static/reference_code/textblob_fr_example.py !}
 ```
 
+### textblob-de
+
+!!! warning
+
+    textblob-de is **not** supported. As of spacytextblob 4.1.0. The textblob-de library depends on a Google Translate feature that no longer works. More details can be found in this issue [https://github.com/markuskiller/textblob-de/issues/24](https://github.com/markuskiller/textblob-de/issues/24).
+
 ### textblob-aptagger
 
 !!! warning
 
     textblob-aptagger is **not** supported. As of TextBlob 0.11.0, TextBlob uses NLTK's averaged perceptron tagger by default. This package is no longer necessary ([https://github.com/sloria/textblob-aptagger](https://github.com/sloria/textblob-aptagger)).
-
diff --git a/justfile b/justfile
index b58ba27..70ad62f 100644
--- a/justfile
+++ b/justfile
@@ -1,10 +1,72 @@
-docs:
-	mkdocs serve
+default:
+    @just --list
 
+# ------------------------------------------------------------------------------
+# Packaging
+# ------------------------------------------------------------------------------
+
+[group('package')]
+build:
+    rm -rf dist
+    uv build
+
+[group('package')]
+publish-test:
+    rm -rf dist
+    uv build
+    uv publish --token $(op read "op://Private/Test PyPI/Token") --publish-url https://test.pypi.org/legacy/
+    open https://test.pypi.org/project/spacytextblob/
+
+[group('package')]
 publish:
-	poetry version patch
-	poetry build
-	poetry publish
+    rm -rf dist
+    uv build
+    uv publish --token $(op read "op://Private/PyPI/Token")
+    open https://pypi.org/project/spacytextblob/
+
+# ------------------------------------------------------------------------------
+# Lint
+# ------------------------------------------------------------------------------
+
+[group('lint')]
+format:
+    # Sort imports
+    uvx ruff check --select I --fix .
+    # Format code
+    uvx ruff format .
+
+[group('lint')]
+lint:
+    uvx ruff check .
+
+# ------------------------------------------------------------------------------
+# Testing
+# ------------------------------------------------------------------------------
+
+[group('tests')]
+test version="3.12":
+    uv run --python {{version}} --all-extras pytest
+
+[group('tests')]
+test-matrix:
+    just test 3.9
+    just test 3.10
+    just test 3.11
+    just test 3.12
+
+[group('tests')]
+test-pre-release-python:
+    # As of 2024-10-12 3.13 is failing
+    just test 3.13
+
+[group('tests')]
+test-gha:
+    gh workflow run pytest.yml --ref $(git branch --show-current)
+
+# ------------------------------------------------------------------------------
+# Docs
+# ------------------------------------------------------------------------------
 
-test:
-    pytest
\ No newline at end of file
+[group('docs')]
+preview-docs:
+    uv run mkdocs serve
diff --git a/netlify.toml b/netlify.toml
index 440362f..83b0c53 100644
--- a/netlify.toml
+++ b/netlify.toml
@@ -1,4 +1,4 @@
 [build]
   base = "."
   publish = "site/"
-  command = "mkdocs build"
\ No newline at end of file
+  command = 'pip install uv && uv run --python 3.12 mkdocs build'
\ No newline at end of file
diff --git a/notebooks/playground.ipynb b/notebooks/playground.ipynb
index 41913e7..fbd822a 100644
--- a/notebooks/playground.ipynb
+++ b/notebooks/playground.ipynb
@@ -4,23 +4,13 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<spacytextblob.spacytextblob.SpacyTextBlob at 0x1147edd30>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import spacy\n",
-    "from spacytextblob.spacytextblob import SpacyTextBlob\n",
-    "from textblob import TextBlob\n",
-    "\n"
+    "from rich import inspect\n",
+    "from textblob import TextBlob  # noqa: F401\n",
+    "\n",
+    "from spacytextblob.spacytextblob import SpacyTextBlob  # noqa: F401"
    ]
   },
   {
@@ -57,7 +47,232 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080\">╭─────────────────────────────────────── </span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">class</span><span style=\"color: #000000; text-decoration-color: #000000\"> </span><span style=\"color: #008000; text-decoration-color: #008000\">'textblob.blob.TextBlob'</span><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">&gt;</span><span style=\"color: #000080; text-decoration-color: #000080\"> ────────────────────────────────────────╮</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">A general text block, meant for larger bodies of text </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080\">esp. those</span>                                               <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">containing sentences</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">)</span><span style=\"color: #008080; text-decoration-color: #008080\">. Inherits from :class:`BaseBlob </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">BaseBlob</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">&gt;</span><span style=\"color: #008080; text-decoration-color: #008080\">`.</span>                                              <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                                                                                                                 <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span> <span style=\"color: #008000; text-decoration-color: #008000\">╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────╮</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span> <span style=\"color: #008000; text-decoration-color: #008000\">│</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">TextBlob</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"We are going to have a good day. Ain't nobody gonna cry today.\"</span><span style=\"font-weight: bold\">)</span>                                  <span style=\"color: #008000; text-decoration-color: #008000\">│</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span> <span style=\"color: #008000; text-decoration-color: #008000\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                                                                                                                 <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>              <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">analyzer</span> = <span style=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">textblob.en.sentiments.PatternAnalyzer</span><span style=\"color: #000000; text-decoration-color: #000000\"> object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x11bd85e20</span><span style=\"font-weight: bold\">&gt;</span>                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>            <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">classifier</span> = <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span>                                                                                    <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                  <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">json</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">MissingCorpusError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\nLooks like you are missing some required data for this </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">feature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m </span>                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">textblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">http://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/sloria/TextBlob/issues.\\n\"</span><span style=\"font-weight: bold\">)</span>                                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>          <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">noun_phrases</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LookupError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\n**********************************************************************\\n</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">Resource \\x1b[93mpunkt_tab\\x1b[0m not found.\\n  Please use the NLTK Downloader to </span>      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">obtain the resource:\\n\\n  \\x1b[31m&gt;&gt;&gt; import nltk\\n  &gt;&gt;&gt; nltk.download('punkt_tab')\\n  </span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">\\x1b[0m\\n  For more information see: https://www.nltk.org/data.html\\n\\n  Attempted to </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">load \\x1b[93mtokenizers/punkt_tab/english/\\x1b[0m\\n\\n  Searched in:\\n    - </span>             <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/nltk_data'\\n    - </span>                                                  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/nltk_data'\\n    - </span>            <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/share/nltk_data'\\n    - </span>      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/lib/nltk_data'\\n    - </span>        <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/share/nltk_data'\\n    - '/usr/local/share/nltk_data'\\n    - </span>                      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/lib/nltk_data'\\n    - </span>                                                            <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/local/lib/nltk_data'\\n**********************************************************…</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>             <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">np_counts</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LookupError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\n**********************************************************************\\n</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">Resource \\x1b[93mpunkt_tab\\x1b[0m not found.\\n  Please use the NLTK Downloader to </span>      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">obtain the resource:\\n\\n  \\x1b[31m&gt;&gt;&gt; import nltk\\n  &gt;&gt;&gt; nltk.download('punkt_tab')\\n  </span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">\\x1b[0m\\n  For more information see: https://www.nltk.org/data.html\\n\\n  Attempted to </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">load \\x1b[93mtokenizers/punkt_tab/english/\\x1b[0m\\n\\n  Searched in:\\n    - </span>             <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/nltk_data'\\n    - </span>                                                  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/nltk_data'\\n    - </span>            <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/share/nltk_data'\\n    - </span>      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/lib/nltk_data'\\n    - </span>        <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/share/nltk_data'\\n    - '/usr/local/share/nltk_data'\\n    - </span>                      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/lib/nltk_data'\\n    - </span>                                                            <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/local/lib/nltk_data'\\n**********************************************************…</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>          <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">np_extractor</span> = <span style=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">textblob.en.np_extractors.FastNPExtractor</span><span style=\"color: #000000; text-decoration-color: #000000\"> object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x11bd85d90</span><span style=\"font-weight: bold\">&gt;</span>                       <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">parser</span> = <span style=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">textblob.en.parsers.PatternParser</span><span style=\"color: #000000; text-decoration-color: #000000\"> object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x11bd85e50</span><span style=\"font-weight: bold\">&gt;</span>                               <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>              <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">polarity</span> = <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span>                                                                                     <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>            <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">pos_tagger</span> = <span style=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">textblob.en.taggers.NLTKTagger</span><span style=\"color: #000000; text-decoration-color: #000000\"> object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x11bd85dc0</span><span style=\"font-weight: bold\">&gt;</span>                                  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>              <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">pos_tags</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">MissingCorpusError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\nLooks like you are missing some required data for this </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">feature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m </span>                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">textblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">http://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/sloria/TextBlob/issues.\\n\"</span><span style=\"font-weight: bold\">)</span>                                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                   <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">raw</span> = <span style=\"color: #008000; text-decoration-color: #008000\">\"We are going to have a good day. Ain't nobody gonna cry today.\"</span>                        <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>         <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">raw_sentences</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">MissingCorpusError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\nLooks like you are missing some required data for this </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">feature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m </span>                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">textblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">http://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/sloria/TextBlob/issues.\\n\"</span><span style=\"font-weight: bold\">)</span>                                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>             <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">sentences</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">MissingCorpusError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\nLooks like you are missing some required data for this </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">feature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m </span>                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">textblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">http://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/sloria/TextBlob/issues.\\n\"</span><span style=\"font-weight: bold\">)</span>                                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>             <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">sentiment</span> = <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">Sentiment</span><span style=\"font-weight: bold\">(</span><span style=\"color: #808000; text-decoration-color: #808000\">polarity</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span>, <span style=\"color: #808000; text-decoration-color: #808000\">subjectivity</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.6000000000000001</span><span style=\"font-weight: bold\">)</span>                                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">sentiment_assessments</span> = <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">Sentiment</span><span style=\"font-weight: bold\">(</span>                                                                              <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                             <span style=\"color: #808000; text-decoration-color: #808000\">polarity</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span>,                                                                       <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                             <span style=\"color: #808000; text-decoration-color: #808000\">subjectivity</span>=<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.6000000000000001</span>,                                                    <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                             <span style=\"color: #808000; text-decoration-color: #808000\">assessments</span>=<span style=\"font-weight: bold\">[([</span><span style=\"color: #008000; text-decoration-color: #008000\">'good'</span><span style=\"font-weight: bold\">]</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span>, <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.6000000000000001</span>, <span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">None</span><span style=\"font-weight: bold\">)]</span>                             <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"font-weight: bold\">)</span>                                                                                       <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>            <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">serialized</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">MissingCorpusError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\nLooks like you are missing some required data for this </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">feature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m </span>                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">textblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">http://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/sloria/TextBlob/issues.\\n\"</span><span style=\"font-weight: bold\">)</span>                                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">string</span> = <span style=\"color: #008000; text-decoration-color: #008000\">\"We are going to have a good day. Ain't nobody gonna cry today.\"</span>                        <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>              <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">stripped</span> = <span style=\"color: #008000; text-decoration-color: #008000\">'we are going to have a good day aint nobody gonna cry today'</span>                           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>          <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">subjectivity</span> = <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.6000000000000001</span>                                                                      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                  <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">tags</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">MissingCorpusError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\nLooks like you are missing some required data for this </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">feature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m </span>                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">textblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">http://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/sloria/TextBlob/issues.\\n\"</span><span style=\"font-weight: bold\">)</span>                                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>             <span style=\"color: #808000; text-decoration-color: #808000; font-style: italic\">tokenizer</span> = <span style=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">textblob.tokenizers.WordTokenizer</span><span style=\"color: #000000; text-decoration-color: #000000\"> object at </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x11bd85df0</span><span style=\"font-weight: bold\">&gt;</span>                               <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">tokens</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">LookupError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\n**********************************************************************\\n</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">Resource \\x1b[93mpunkt_tab\\x1b[0m not found.\\n  Please use the NLTK Downloader to </span>      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">obtain the resource:\\n\\n  \\x1b[31m&gt;&gt;&gt; import nltk\\n  &gt;&gt;&gt; nltk.download('punkt_tab')\\n  </span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">\\x1b[0m\\n  For more information see: https://www.nltk.org/data.html\\n\\n  Attempted to </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">load \\x1b[93mtokenizers/punkt_tab/english/\\x1b[0m\\n\\n  Searched in:\\n    - </span>             <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/nltk_data'\\n    - </span>                                                  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/nltk_data'\\n    - </span>            <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/share/nltk_data'\\n    - </span>      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/Users/samedwardes/projects/personal/spacytextblob/.venv/lib/nltk_data'\\n    - </span>        <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/share/nltk_data'\\n    - '/usr/local/share/nltk_data'\\n    - </span>                      <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/lib/nltk_data'\\n    - </span>                                                            <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">'/usr/local/lib/nltk_data'\\n**********************************************************…</span> <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>           <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">word_counts</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">MissingCorpusError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\nLooks like you are missing some required data for this </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">feature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m </span>                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">textblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">http://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/sloria/TextBlob/issues.\\n\"</span><span style=\"font-weight: bold\">)</span>                                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                 <span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold; font-style: italic\">words</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\"> =</span> <span style=\"color: #800080; text-decoration-color: #800080; font-weight: bold\">MissingCorpusError</span><span style=\"font-weight: bold\">(</span><span style=\"color: #008000; text-decoration-color: #008000\">\"\\nLooks like you are missing some required data for this </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">feature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m </span>                <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">textblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: </span>  <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">http://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at </span>           <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span>                         <span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/sloria/TextBlob/issues.\\n\"</span><span style=\"font-weight: bold\">)</span>                                          <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
+       "<span style=\"color: #000080; text-decoration-color: #000080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[34m╭─\u001b[0m\u001b[34m──────────────────────────────────────\u001b[0m\u001b[34m \u001b[0m\u001b[1;34m<\u001b[0m\u001b[1;95mclass\u001b[0m\u001b[39m \u001b[0m\u001b[32m'textblob.blob.TextBlob'\u001b[0m\u001b[1;34m>\u001b[0m\u001b[34m \u001b[0m\u001b[34m───────────────────────────────────────\u001b[0m\u001b[34m─╮\u001b[0m\n",
+       "\u001b[34m│\u001b[0m \u001b[36mA general text block, meant for larger bodies of text \u001b[0m\u001b[1;36m(\u001b[0m\u001b[36mesp. those\u001b[0m                                               \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m \u001b[36mcontaining sentences\u001b[0m\u001b[1;36m)\u001b[0m\u001b[36m. Inherits from :class:`BaseBlob \u001b[0m\u001b[1;36m<\u001b[0m\u001b[1;95mBaseBlob\u001b[0m\u001b[1;36m>\u001b[0m\u001b[36m`.\u001b[0m                                              \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                                                                                                                 \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m \u001b[32m╭─────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m \u001b[32m│\u001b[0m \u001b[1;35mTextBlob\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"We are going to have a good day. Ain't nobody gonna cry today.\"\u001b[0m\u001b[1m)\u001b[0m                                  \u001b[32m│\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m \u001b[32m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                                                                                                                 \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m              \u001b[3;33manalyzer\u001b[0m = \u001b[1m<\u001b[0m\u001b[1;95mtextblob.en.sentiments.PatternAnalyzer\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x11bd85e20\u001b[0m\u001b[1m>\u001b[0m                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m            \u001b[3;33mclassifier\u001b[0m = \u001b[3;35mNone\u001b[0m                                                                                    \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                  \u001b[1;3;31mjson\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mMissingCorpusError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\nLooks like you are missing some required data for this \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mfeature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m \u001b[0m                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mtextblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttp://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttps://github.com/sloria/TextBlob/issues.\\n\"\u001b[0m\u001b[1m)\u001b[0m                                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m          \u001b[1;3;31mnoun_phrases\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mLookupError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\n**********************************************************************\\n\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mResource \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m93mpunkt_tab\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m not found.\\n  Please use the NLTK Downloader to \u001b[0m      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mobtain the resource:\\n\\n  \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m31m>>> import nltk\\n  >>> nltk.download\u001b[0m\u001b[32m(\u001b[0m\u001b[32m'punkt_tab'\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n  \u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m\\n  For more information see: https://www.nltk.org/data.html\\n\\n  Attempted to \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mload \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m93mtokenizers/punkt_tab/english/\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m\\n\\n  Searched in:\\n    - \u001b[0m             \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/nltk_data'\\n    - \u001b[0m                                                  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/nltk_data'\\n    - \u001b[0m            \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/share/nltk_data'\\n    - \u001b[0m      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/lib/nltk_data'\\n    - \u001b[0m        \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/share/nltk_data'\\n    - '/usr/local/share/nltk_data'\\n    - \u001b[0m                      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/lib/nltk_data'\\n    - \u001b[0m                                                            \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/local/lib/nltk_data'\\n**********************************************************…\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m             \u001b[1;3;31mnp_counts\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mLookupError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\n**********************************************************************\\n\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mResource \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m93mpunkt_tab\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m not found.\\n  Please use the NLTK Downloader to \u001b[0m      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mobtain the resource:\\n\\n  \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m31m>>> import nltk\\n  >>> nltk.download\u001b[0m\u001b[32m(\u001b[0m\u001b[32m'punkt_tab'\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n  \u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m\\n  For more information see: https://www.nltk.org/data.html\\n\\n  Attempted to \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mload \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m93mtokenizers/punkt_tab/english/\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m\\n\\n  Searched in:\\n    - \u001b[0m             \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/nltk_data'\\n    - \u001b[0m                                                  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/nltk_data'\\n    - \u001b[0m            \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/share/nltk_data'\\n    - \u001b[0m      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/lib/nltk_data'\\n    - \u001b[0m        \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/share/nltk_data'\\n    - '/usr/local/share/nltk_data'\\n    - \u001b[0m                      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/lib/nltk_data'\\n    - \u001b[0m                                                            \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/local/lib/nltk_data'\\n**********************************************************…\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m          \u001b[3;33mnp_extractor\u001b[0m = \u001b[1m<\u001b[0m\u001b[1;95mtextblob.en.np_extractors.FastNPExtractor\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x11bd85d90\u001b[0m\u001b[1m>\u001b[0m                       \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                \u001b[3;33mparser\u001b[0m = \u001b[1m<\u001b[0m\u001b[1;95mtextblob.en.parsers.PatternParser\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x11bd85e50\u001b[0m\u001b[1m>\u001b[0m                               \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m              \u001b[3;33mpolarity\u001b[0m = \u001b[1;36m0.7\u001b[0m                                                                                     \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m            \u001b[3;33mpos_tagger\u001b[0m = \u001b[1m<\u001b[0m\u001b[1;95mtextblob.en.taggers.NLTKTagger\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x11bd85dc0\u001b[0m\u001b[1m>\u001b[0m                                  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m              \u001b[1;3;31mpos_tags\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mMissingCorpusError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\nLooks like you are missing some required data for this \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mfeature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m \u001b[0m                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mtextblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttp://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttps://github.com/sloria/TextBlob/issues.\\n\"\u001b[0m\u001b[1m)\u001b[0m                                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                   \u001b[3;33mraw\u001b[0m = \u001b[32m\"We are going to have a good day. Ain't nobody gonna cry today.\"\u001b[0m                        \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m         \u001b[1;3;31mraw_sentences\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mMissingCorpusError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\nLooks like you are missing some required data for this \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mfeature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m \u001b[0m                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mtextblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttp://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttps://github.com/sloria/TextBlob/issues.\\n\"\u001b[0m\u001b[1m)\u001b[0m                                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m             \u001b[1;3;31msentences\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mMissingCorpusError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\nLooks like you are missing some required data for this \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mfeature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m \u001b[0m                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mtextblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttp://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttps://github.com/sloria/TextBlob/issues.\\n\"\u001b[0m\u001b[1m)\u001b[0m                                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m             \u001b[3;33msentiment\u001b[0m = \u001b[1;35mSentiment\u001b[0m\u001b[1m(\u001b[0m\u001b[33mpolarity\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.7\u001b[0m, \u001b[33msubjectivity\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.6000000000000001\u001b[0m\u001b[1m)\u001b[0m                                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m \u001b[3;33msentiment_assessments\u001b[0m = \u001b[1;35mSentiment\u001b[0m\u001b[1m(\u001b[0m                                                                              \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                             \u001b[33mpolarity\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.7\u001b[0m,                                                                       \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                             \u001b[33msubjectivity\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.6000000000000001\u001b[0m,                                                    \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                             \u001b[33massessments\u001b[0m=\u001b[1m[\u001b[0m\u001b[1m(\u001b[0m\u001b[1m[\u001b[0m\u001b[32m'good'\u001b[0m\u001b[1m]\u001b[0m, \u001b[1;36m0.7\u001b[0m, \u001b[1;36m0.6000000000000001\u001b[0m, \u001b[3;35mNone\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m                             \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[1m)\u001b[0m                                                                                       \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m            \u001b[1;3;31mserialized\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mMissingCorpusError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\nLooks like you are missing some required data for this \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mfeature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m \u001b[0m                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mtextblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttp://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttps://github.com/sloria/TextBlob/issues.\\n\"\u001b[0m\u001b[1m)\u001b[0m                                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                \u001b[3;33mstring\u001b[0m = \u001b[32m\"We are going to have a good day. Ain't nobody gonna cry today.\"\u001b[0m                        \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m              \u001b[3;33mstripped\u001b[0m = \u001b[32m'we are going to have a good day aint nobody gonna cry today'\u001b[0m                           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m          \u001b[3;33msubjectivity\u001b[0m = \u001b[1;36m0.6000000000000001\u001b[0m                                                                      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                  \u001b[1;3;31mtags\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mMissingCorpusError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\nLooks like you are missing some required data for this \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mfeature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m \u001b[0m                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mtextblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttp://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttps://github.com/sloria/TextBlob/issues.\\n\"\u001b[0m\u001b[1m)\u001b[0m                                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m             \u001b[3;33mtokenizer\u001b[0m = \u001b[1m<\u001b[0m\u001b[1;95mtextblob.tokenizers.WordTokenizer\u001b[0m\u001b[39m object at \u001b[0m\u001b[1;36m0x11bd85df0\u001b[0m\u001b[1m>\u001b[0m                               \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                \u001b[1;3;31mtokens\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mLookupError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\n**********************************************************************\\n\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mResource \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m93mpunkt_tab\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m not found.\\n  Please use the NLTK Downloader to \u001b[0m      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mobtain the resource:\\n\\n  \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m31m>>> import nltk\\n  >>> nltk.download\u001b[0m\u001b[32m(\u001b[0m\u001b[32m'punkt_tab'\u001b[0m\u001b[32m)\u001b[0m\u001b[32m\\n  \u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m\\n  For more information see: https://www.nltk.org/data.html\\n\\n  Attempted to \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mload \\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m93mtokenizers/punkt_tab/english/\\x1b\u001b[0m\u001b[32m[\u001b[0m\u001b[32m0m\\n\\n  Searched in:\\n    - \u001b[0m             \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/nltk_data'\\n    - \u001b[0m                                                  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/nltk_data'\\n    - \u001b[0m            \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/share/nltk_data'\\n    - \u001b[0m      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/Users/samedwardes/projects/personal/spacytextblob/.venv/lib/nltk_data'\\n    - \u001b[0m        \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/share/nltk_data'\\n    - '/usr/local/share/nltk_data'\\n    - \u001b[0m                      \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/lib/nltk_data'\\n    - \u001b[0m                                                            \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32m'/usr/local/lib/nltk_data'\\n**********************************************************…\u001b[0m \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m           \u001b[1;3;31mword_counts\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mMissingCorpusError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\nLooks like you are missing some required data for this \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mfeature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m \u001b[0m                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mtextblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttp://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttps://github.com/sloria/TextBlob/issues.\\n\"\u001b[0m\u001b[1m)\u001b[0m                                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                 \u001b[1;3;31mwords\u001b[0m\u001b[1;31m =\u001b[0m \u001b[1;35mMissingCorpusError\u001b[0m\u001b[1m(\u001b[0m\u001b[32m\"\\nLooks like you are missing some required data for this \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mfeature.\\n\\nTo download the necessary data, simply run\\n\\n    python -m \u001b[0m                \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mtextblob.download_corpora\\n\\nor use the NLTK downloader to download the missing data: \u001b[0m  \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttp://nltk.org/data.html\\nIf this doesn't fix the problem, file an issue at \u001b[0m           \u001b[34m│\u001b[0m\n",
+       "\u001b[34m│\u001b[0m                         \u001b[32mhttps://github.com/sloria/TextBlob/issues.\\n\"\u001b[0m\u001b[1m)\u001b[0m                                          \u001b[34m│\u001b[0m\n",
+       "\u001b[34m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "inspect(doc._.blob)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -66,7 +281,7 @@
        "[(['good'], 0.7, 0.6000000000000001, None)]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -77,7 +292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -86,7 +301,7 @@
        "TextBlob(\"We are going to have\")"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -97,7 +312,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -106,7 +321,7 @@
        "TextBlob(\"We\")"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -117,7 +332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -126,18 +341,18 @@
        "0.7"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "doc._.polarity"
+    "doc._.blob.polarity"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -146,51 +361,39 @@
        "0.7"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "doc[6]._.polarity"
+    "doc[6]._.blob.polarity"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "This blob has no classifier. Train one first!",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/38/ccm_21tj43v1ntn9ks9vyy740000gn/T/ipykernel_38431/3727811744.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdoc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblob\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclassify\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/Library/Caches/pypoetry/virtualenvs/spacytextblob-u83tqr8m-py3.9/lib/python3.9/site-packages/textblob/blob.py\u001b[0m in \u001b[0;36mclassify\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    418\u001b[0m         \u001b[0;34m\"\"\"Classify the blob using the blob's ``classifier``.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    419\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclassifier\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 420\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mNameError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"This blob has no classifier. Train one first!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    421\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclassifier\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclassify\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    422\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: This blob has no classifier. Train one first!"
-     ]
+     "data": {
+      "text/plain": [
+       "Sentiment(polarity=0.7, subjectivity=0.6000000000000001)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "doc._.blob.classify()"
+    "doc._.blob.sentiment"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
-  "interpreter": {
-   "hash": "f2bcf643c09ae7ab79eb19e8e2884dfba6042171b36bc316d13873ed8c0184f4"
-  },
   "kernelspec": {
-   "display_name": "Python 3.9.4 ('spacytextblob-u83tqr8m-py3.9')",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -204,7 +407,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.4"
+   "version": "3.12.4"
   },
   "orig_nbformat": 4
  },
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index 209ba20..0000000
--- a/poetry.lock
+++ /dev/null
@@ -1,2019 +0,0 @@
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-optional = false
-python-versions = "*"
-
-[[package]]
-name = "appnope"
-version = "0.1.2"
-description = "Disable App Nap on macOS >= 10.9"
-category = "dev"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "atomicwrites"
-version = "1.4.0"
-description = "Atomic file writes."
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[[package]]
-name = "attrs"
-version = "20.3.0"
-description = "Classes Without Boilerplate"
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
-docs = ["furo", "sphinx", "zope.interface"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
-
-[[package]]
-name = "backcall"
-version = "0.2.0"
-description = "Specifications for callback functions passed in to an API"
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-[[package]]
-name = "black"
-version = "20.8b1"
-description = "The uncompromising code formatter."
-category = "dev"
-optional = false
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-[package.dependencies]
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-click = ">=7.1.2"
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-regex = ">=2020.1.8"
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-typed-ast = ">=1.4.0"
-typing-extensions = ">=3.7.4"
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-[package.extras]
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-[package.extras]
-test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"]
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-[[package]]
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diff --git a/pyproject.old.toml b/pyproject.old.toml
new file mode 100644
index 0000000..1cd1475
--- /dev/null
+++ b/pyproject.old.toml
@@ -0,0 +1,31 @@
+[tool.poetry]
+name = "spacytextblob"
+version = "4.0.0"
+description = "A TextBlob sentiment analysis pipeline component for spaCy."
+authors = ["SamEdwardes <edwardes.s@gmail.com>"]
+license = "MIT"
+readme = "README.md"
+repository = "https://github.com/SamEdwardes/spacytextblob"
+documentation = "https://spacytextblob.netlify.app/"
+keywords = ["python", "spacy", "textblob", "nlp"]
+
+[tool.poetry.dependencies]
+python = "^3.7"
+textblob = "^0.15.3"
+spacy = "^3.0"
+
+[tool.poetry.dev-dependencies]
+pytest = "^6.1.2"
+black = "^20.8b1"
+en_core_web_sm = {url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz#egg=en_core_web_sm"}
+textblob-fr = "^0.2.0"
+mkdocs-material = "^8.1.11"
+textblob-de = "^0.4.3"
+mdx-include = "^1.4.1"
+pytest-xdist = "^2.5.0"
+rich = "^11.2.0"
+ipykernel = "^6.9.1"
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"
diff --git a/pyproject.toml b/pyproject.toml
index 1cd1475..1358764 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,31 +1,43 @@
-[tool.poetry]
+[project]
 name = "spacytextblob"
-version = "4.0.0"
+version = "5.0.0"
 description = "A TextBlob sentiment analysis pipeline component for spaCy."
-authors = ["SamEdwardes <edwardes.s@gmail.com>"]
-license = "MIT"
 readme = "README.md"
-repository = "https://github.com/SamEdwardes/spacytextblob"
-documentation = "https://spacytextblob.netlify.app/"
+license = "MIT"
 keywords = ["python", "spacy", "textblob", "nlp"]
+requires-python = ">=3.9"
+dependencies = [
+    "spacy>=3.0.0",
+    "textblob>=0.18.0.post0",
+]
+maintainers = [
+  {name = "Sam Edwardes", email = "edwardes.s@gmail.com"}
+]
 
-[tool.poetry.dependencies]
-python = "^3.7"
-textblob = "^0.15.3"
-spacy = "^3.0"
-
-[tool.poetry.dev-dependencies]
-pytest = "^6.1.2"
-black = "^20.8b1"
-en_core_web_sm = {url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz#egg=en_core_web_sm"}
-textblob-fr = "^0.2.0"
-mkdocs-material = "^8.1.11"
-textblob-de = "^0.4.3"
-mdx-include = "^1.4.1"
-pytest-xdist = "^2.5.0"
-rich = "^11.2.0"
-ipykernel = "^6.9.1"
+[project.urls]
+Homepage = "https://spacytextblob.netlify.app/"
+Documentation = "https://spacytextblob.netlify.app/"
+Repository = "https://github.com/SamEdwardes/spacytextblob"
+Issues = "https://github.com/SamEdwardes/spacytextblob/issues"
+Changelog = "https://github.com/SamEdwardes/spacytextblob/blob/main/docs/changelog.md"
 
 [build-system]
-requires = ["poetry-core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.uv]
+dev-dependencies = [
+    "ipykernel>=6.29.5",
+    "mdx-include>=1.4.2",
+    "mkdocs-material>=9.5.40",
+    "pytest>=8.3.3",
+    "pytest-xdist>=3.6.1",
+    "rich>=13.9.2",
+    "textblob-fr>=0.2.0",
+    "en-core-web-sm",
+    "fr-core-news-sm",
+]
+
+[tool.uv.sources]
+en-core-web-sm = { url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl" }
+fr-core-news-sm = { url = "https://github.com/explosion/spacy-models/releases/download/fr_core_news_sm-3.8.0/fr_core_news_sm-3.8.0-py3-none-any.whl" }
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 01c0d35..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-# For building the docs with netlify
-mkdocs-material
-mdx-include
\ No newline at end of file
diff --git a/runtime.txt b/runtime.txt
deleted file mode 100644
index 548d713..0000000
--- a/runtime.txt
+++ /dev/null
@@ -1,1 +0,0 @@
-3.7
\ No newline at end of file
diff --git a/spacytextblob/__init__.py b/spacytextblob/__init__.py
index ce1305b..ba7be38 100644
--- a/spacytextblob/__init__.py
+++ b/spacytextblob/__init__.py
@@ -1,1 +1,1 @@
-__version__ = "4.0.0"
+__version__ = "5.0.0"
diff --git a/spacytextblob/spacytextblob.py b/spacytextblob/spacytextblob.py
index 55c192c..ed33e4c 100644
--- a/spacytextblob/spacytextblob.py
+++ b/spacytextblob/spacytextblob.py
@@ -1,4 +1,3 @@
-import warnings
 from typing import Any, Optional
 
 from spacy.language import Language
@@ -6,32 +5,22 @@
 from textblob import TextBlob
 
 
-@Language.factory(
-    "spacytextblob", default_config={"blob_only": False, "custom_blob": None}
-)
+@Language.factory("spacytextblob", default_config={"custom_blob": None})
 def create_spacytextblob_component(
     nlp: Language,
     name: str,
-    blob_only: bool,
     custom_blob: Optional[Any],
 ):
-    return SpacyTextBlob(nlp, blob_only, custom_blob)
+    return SpacyTextBlob(nlp, custom_blob)
 
 
 class SpacyTextBlob(object):
     """A spacy pipeline object for sentiment analysis."""
 
-    def __init__(
-        self, nlp: Language, blob_only: bool = False, custom_blob: Optional[Any] = None
-    ):
+    def __init__(self, nlp: Language, custom_blob: Optional[Any] = None):
         # Register custom extensions
-        extensions = ["blob", "polarity", "subjectivity", "assessments"]
-        getters = [
-            self.get_blob,
-            self.get_polarity,
-            self.get_subjectivity,
-            self.get_assessments,
-        ]
+        extensions = ["blob"]
+        getters = [self.get_blob]
 
         for ext, get in zip(extensions, getters):
             if not Doc.has_extension(ext):
@@ -42,18 +31,12 @@ def __init__(
                 Token.set_extension(ext, getter=get)
 
         # Set class attributes
-        self.blob_only = blob_only
         self.custom_blob = custom_blob
 
     def __call__(self, doc):
         # Sentiment at the doc level
         blob = self.get_blob(doc)
         doc._.set("blob", blob)
-        if self.blob_only == False:
-            doc._.set("polarity", blob.sentiment.polarity)
-            doc._.set("subjectivity", blob.sentiment.subjectivity)
-            doc._.set("assessments", blob.sentiment_assessments.assessments)
-
         return doc
 
     def create_blob(self, doc):
@@ -67,24 +50,3 @@ def create_blob(self, doc):
 
     def get_blob(self, doc):
         return self.create_blob(doc)
-
-    def get_polarity(self, doc):
-        warnings.warn(
-            "`doc._.polarity` will be deprecated in future versions. Instead you should use `doc._.blob.polarity`.",
-            DeprecationWarning,
-        )
-        return self.create_blob(doc).polarity
-
-    def get_subjectivity(self, doc):
-        warnings.warn(
-            "`doc._.subjectivity` will be deprecated in future versions. Instead you should use `doc._.blob.subjectivity`.",
-            DeprecationWarning,
-        )
-        return self.create_blob(doc).subjectivity
-
-    def get_assessments(self, doc):
-        warnings.warn(
-            "`doc._.assessments` will be deprecated in future versions. Instead you should use `doc._.blob.sentiment_assessments.assessments`.",
-            DeprecationWarning,
-        )
-        return self.create_blob(doc).sentiment_assessments.assessments
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..88e10a0
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,2075 @@
+version = 1
+requires-python = ">=3.9"
+resolution-markers = [
+    "python_full_version < '3.13'",
+    "python_full_version >= '3.13'",
+]
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
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+]
+
+[[package]]
+name = "zipp"
+version = "3.20.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/54/bf/5c0000c44ebc80123ecbdddba1f5dcd94a5ada602a9c225d84b5aaa55e86/zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29", size = 24199 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/62/8b/5ba542fa83c90e09eac972fc9baca7a88e7e7ca4b221a89251954019308b/zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350", size = 9200 },
+]


Test patch:
diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
index 368c479..eae1b80 100644
--- a/.github/workflows/pytest.yml
+++ b/.github/workflows/pytest.yml
@@ -7,8 +7,9 @@ on:
   pull_request:
     branches: [ main ]
   push:
-    branches: 
+    branches:
       - main
+  workflow_dispatch:
 
 jobs:
   build:
@@ -16,7 +17,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.7", "3.8", "3.9"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
 
     steps:
     - uses: actions/checkout@v2
@@ -24,20 +25,9 @@ jobs:
       uses: actions/setup-python@v2
       with:
         python-version: ${{ matrix.python-version }}
-    - name: Install python dependencies
+    - name: Setup uv
       run: |
-        curl -sSL https://install.python-poetry.org | python3 -
-        poetry export --without-hashes --output requirements.txt
-        python -m pip install --upgrade pip
-        pip install wheel
-        pip install -r requirements.txt
-        python -m textblob.download_corpora
-        python -m spacy download en_core_web_sm
-        pip install textblob-de
-        python -m spacy download de_core_news_sm
-        pip install textblob-fr
-        python -m spacy download fr_core_news_sm
-        pip install pytest
+        curl -LsSf https://astral.sh/uv/install.sh | sh
     - name: Test with pytest
       run: |
-        pytest
+        uv run --python ${{ matrix.python-version }} --all-extras pytest
diff --git a/tests/test_textblob.py b/tests/test_textblob.py
index a13ba81..92a5f1c 100644
--- a/tests/test_textblob.py
+++ b/tests/test_textblob.py
@@ -1,78 +1,97 @@
+import pytest
 import spacy
-import spacytextblob
-from spacytextblob.spacytextblob import SpacyTextBlob
 from textblob import TextBlob
+from textblob.download_corpora import download_all
+
+import spacytextblob
+from spacytextblob.spacytextblob import SpacyTextBlob  # noqa: F401
+
+# Set up textblob
+download_all()
+
 
-nlp = spacy.load("en_core_web_sm")
-nlp.add_pipe("spacytextblob")
+# Setup spacy
+def get_nlp() -> spacy.language.Language:
+    nlp = spacy.load("en_core_web_sm")
+    nlp.add_pipe("spacytextblob")
+    return nlp
 
 
 def test_version():
-    spacytextblob.__version__ == "4.0.0"
+    assert spacytextblob.__version__ == "5.0.0"
 
 
 def test_types():
+    nlp = get_nlp()
     text = "I had a really horrible day. It was the worst day ever!"
     doc = nlp(text)
-    
+
     # Check types
-    assert isinstance(doc._.polarity, float)
-    assert isinstance(doc._.subjectivity, float)
-    assert isinstance(doc._.assessments, list)
+    assert isinstance(doc._.blob.polarity, float)
+    assert isinstance(doc._.blob.subjectivity, float)
+    assert isinstance(doc._.blob.sentiment_assessments.assessments, list)
     assert isinstance(doc._.blob, TextBlob)
 
 
+def test_blob_only_false_error():
+    nlp_custom_config = spacy.load("en_core_web_sm")
+    with pytest.raises(ValueError):
+        nlp_custom_config.add_pipe("spacytextblob", config={"blob_only": False})
+
+
 def test_negative_sentiment():
+    nlp = get_nlp()
     text = "I had a really horrible day. It was the worst day ever!"
     doc = nlp(text)
     # Check polarity
-    assert doc._.polarity == -1.0
     assert doc._.blob.polarity == -1.0
-    assert doc[4]._.polarity == -1.0
     assert doc[4]._.blob.polarity == -1.0
-    assert [span._.polarity for span in doc.sents] == [-1.0 , -1.0]
-    # Check polarity
-    assert doc._.subjectivity == 1.0
-    assert doc[4]._.subjectivity == 1.0
-    assert [span._.subjectivity for span in doc.sents] == [1.0 , 1.0]
-    
-    
+    assert [span._.blob.polarity for span in doc.sents] == [-1.0, -1.0]
+    # Check subjectivity
+    assert doc._.blob.subjectivity == 1.0
+    assert doc[4]._.blob.subjectivity == 1.0
+    assert [span._.blob.subjectivity for span in doc.sents] == [1.0, 1.0]
+
+
 def test_positive_sentiment():
+    nlp = get_nlp()
     text = "I had a really amazing day. It was the best day ever!"
     doc = nlp(text)
     # Check polarity
-    assert doc._.polarity == 0.8
-    assert round(doc[4]._.polarity, 1) == 0.6
-    [round(span._.polarity, 1) for span in doc.sents] == [0.6 , 1.0]
+    assert doc._.blob.polarity == 0.8
+    assert round(doc[4]._.blob.polarity, 1) == 0.6
+    assert [round(span._.blob.polarity, 1) for span in doc.sents] == [0.6, 1.0]
     # Check polarity
-    assert doc._.subjectivity == 0.6
-    assert doc[4]._.subjectivity == 0.9
-    assert [span._.subjectivity for span in doc.sents] == [0.9 , 0.3]
-    
-    
-def test_compare_to_text_blob():
-    # Text example 1
+    assert doc._.blob.subjectivity == 0.6
+    assert doc[4]._.blob.subjectivity == 0.9
+    assert [span._.blob.subjectivity for span in doc.sents] == [0.9, 0.3]
+
+
+def test_compare_to_text_blob_example_1():
+    nlp = get_nlp()
     text = "It is a very fun thing how happy puppies can make you."
     blob = TextBlob(text)
     doc = nlp(text)
-    assert blob.polarity == doc._.polarity
-    assert blob.subjectivity == doc._.subjectivity
-    assert blob.sentiment_assessments[2] == doc._.assessments
-    
-    # Text example 2
+    assert blob.polarity == doc._.blob.polarity
+    assert blob.subjectivity == doc._.blob.subjectivity
+    assert blob.sentiment_assessments[2] == doc._.blob.sentiment_assessments.assessments
+
+
+def test_compare_to_text_blob_example_2():
+    nlp = get_nlp()
     text = "My favourite food is Italian food. I love it."
     blob = TextBlob(text)
     doc = nlp(text)
-    assert blob.polarity == doc._.polarity
-    assert blob.subjectivity == doc._.subjectivity
-    assert blob.sentiment_assessments[2] == doc._.assessments
+    assert blob.polarity == doc._.blob.polarity
+    assert blob.subjectivity == doc._.blob.subjectivity
+    assert blob.sentiment_assessments[2] == doc._.blob.sentiment_assessments.assessments
+
 
-    
 def test_textblob_fr():
     from textblob import Blobber
-    from textblob_fr import PatternTagger, PatternAnalyzer
+    from textblob_fr import PatternAnalyzer, PatternTagger
 
-    text = u"Quelle belle matinée"
+    text = "Quelle belle matinée"
     tb = Blobber(pos_tagger=PatternTagger(), analyzer=PatternAnalyzer())
     blob = tb(text)
     assert blob.sentiment == (0.8, 0.8)
@@ -80,59 +99,17 @@ def test_textblob_fr():
 
 def test_spacytextblob_fr():
     from textblob import Blobber
-    from textblob_fr import PatternTagger, PatternAnalyzer
+    from textblob_fr import PatternAnalyzer, PatternTagger
 
     @spacy.registry.misc("spacytextblob.fr_blob")
     def create_fr_blob():
         tb = Blobber(pos_tagger=PatternTagger(), analyzer=PatternAnalyzer())
         return tb
-    
-    config = {
-        "blob_only": True,
-        "custom_blob": {"@misc": "spacytextblob.fr_blob"}
-    }
-    
+
+    config = {"custom_blob": {"@misc": "spacytextblob.fr_blob"}}
+
     nlp_fr = spacy.load("en_core_web_sm")
     nlp_fr.add_pipe("spacytextblob", config=config)
-    text = u"Quelle belle matinée"
+    text = "Quelle belle matinée"
     doc = nlp_fr(text)
     assert doc._.blob.sentiment == (0.8, 0.8)
-    
-    
-def test_textblob_de():
-    from textblob_de import TextBlobDE
-    from textblob import Sentence
-    text = '''Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider habe ich nur noch EUR 3.50 in meiner Brieftasche.'''
-    blob = TextBlobDE(text)
-    sentences = [
-        Sentence("Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag."),
-        Sentence("Ich muss unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen."),
-        Sentence("Aber leider habe ich nur noch EUR 3.50 in meiner Brieftasche.")
-    ]
-    assert blob.sentences == sentences
-
-
-def test_spacytextblob_de():
-    from textblob_de import TextBlobDE
-    from textblob import Sentence
-    text = '''Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. Ich muss unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen. Aber leider habe ich nur noch EUR 3.50 in meiner Brieftasche.'''
-    
-    @spacy.registry.misc("spacytextblob.de_blob")
-    def create_de_blob():
-        return TextBlobDE
-    
-    config = {
-        "blob_only": True,
-        "custom_blob": {"@misc": "spacytextblob.de_blob"}
-    }
-    
-    nlp_de = spacy.load("en_core_web_sm")
-    nlp_de.add_pipe("spacytextblob", config=config)
-    doc = nlp_de(text)
-    
-    sentences = [
-        Sentence("Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag."),
-        Sentence("Ich muss unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen."),
-        Sentence("Aber leider habe ich nur noch EUR 3.50 in meiner Brieftasche.")
-    ]
-    assert doc._.blob.sentences == sentences