semvec/pypi-packages huggingface dataset:
neticle-textanalysis-api-sdk 4.0.1
Python SDK for Neticle Text Analysis API
License: MIT
Requires Python: >= 3.7
Keywords: nlp,natural language processing,text analysis,sentiment analysis,topic recognition

# Who we are
[Neticle](https://neticle.com/company/en/)'s proprietary sentiment and semantic analysis technology works with outstanding human-level precision. We know how to get insights automatically from texts and we build products and services applying this technology.

# About this package 
[Neticle Text Analysis](https://neticle.com/textanalysisapi/en/) provides market leading, humanly accurate sentiment and semantic analysis toolkits for in-house corporate use. Or are you looking for NLP (natural language processing)? Yes, that's what we do.

# Getting Started
This package was meant to use with Neticle's Text Analysis API. For further information please visit the project's [home page](https://neticle.com/textanalysisapi/en/).

Start with importing the package into your project:
```python
from textanalysis_python_sdk import NeticleException, TextAnalysis, TextSplitType
```
 
After this you can easily use the API with the following code snippet:

```python
textAnalysisApi = TextAnalysis(token='REPLACE-WITH-YOUR-TOKEN')
neticleTextAnalysisAnswer = None
try:
    neticleTextAnalysisAnswer = textAnalysisApi.getTextAnalyzed(language='en',
        input='This is a very good example text.',
        textSplitType=TextSplitType.SENTENCE)
except NeticleException as e:
    print('Something went wrong while getting the answer from Neticle Text Analysis API! The error message is: ' + str(e))

# Few example methods:
print('The provided text decorated with HTML spans around recognized entities, synonyms and phrases: ' + neticleTextAnalysisAnswer.getFullHTMLText())
print('The overall sentiment score (opinion index) calculated from the provided text: ' + str(neticleTextAnalysisAnswer.getOpinionIndex()))
# For a detailed description of provided methods please refer to the TextAnalysisAnswer class's documentation.
```
jsfsdb 0.1.2
jsfsdb is a json-on-filesystem database
License: MIT

jsfsdb
=============

https://jsfsdb.readthedocs.io

jsfsdb is a json-on-filesystem database

.. image:: https://img.shields.io/github/stars/iandennismiller/jsfsdb.svg?style=social&label=GitHub
    :target: https://github.com/iandennismiller/jsfsdb

.. image:: https://img.shields.io/pypi/v/jsfsdb.svg
    :target: https://pypi.python.org/pypi/jsfsdb

.. image:: https://readthedocs.org/projects/jsfsdb/badge/?version=latest
    :target: http://jsfsdb.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: https://travis-ci.org/iandennismiller/jsfsdb.svg?branch=master
    :target: https://travis-ci.org/iandennismiller/jsfsdb

Overview
--------

Provide a longer description of the project.

Installation
^^^^^^^^^^^^

Python pip
~~~~~~~~~~

::

    pip install jsfsdb

Usage
^^^^^

::

    blah

Documentation
^^^^^^^^^^^^^

http://jsfsdb.readthedocs.io