1M_bert
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
To use this model, please install BERTopic:
pip install -U bertopic
You can use the model as follows:
from bertopic import BERTopic
topic_model = BERTopic.load("Jellywibble/1M_bert")
topic_model.get_topic_info()
Topic overview
- Number of topics: 20
- Number of training documents: 1000000
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
0 | you - the - to - user - bot | 201385 | 0_you_the_to_user |
1 | his - he - you - your - bot | 182561 | 1_his_he_you_your |
2 | her - she - you - to - user | 99643 | 2_her_she_you_to |
3 | his - he - you - to - the | 97803 | 3_his_he_you_to |
4 | her - she - you - user - your | 55073 | 4_her_she_you_user |
5 | his - he - you - to - the | 49339 | 5_his_he_you_to |
6 | her - she - to - the - you | 48030 | 6_her_she_to_the |
7 | his - he - you - the - to | 46294 | 7_his_he_you_the |
8 | the - you - to - and - user | 40228 | 8_the_you_to_and |
9 | his - he - you - the - to | 35152 | 9_his_he_you_the |
10 | his - he - you - to - the | 23293 | 10_his_he_you_to |
11 | his - he - you - the - to | 23158 | 11_his_he_you_the |
12 | you - hoshi - to - her - the | 18615 | 12_you_hoshi_to_her |
13 | his - jack - he - elijah - you | 16377 | 13_his_jack_he_elijah |
14 | his - he - you - the - to | 12291 | 14_his_he_you_the |
15 | tom - his - he - you - to | 11575 | 15_tom_his_he_you |
16 | his - he - max - you - the | 11396 | 16_his_he_max_you |
17 | liam - damien - he - his - you | 9937 | 17_liam_damien_he_his |
18 | felix - his - he - the - you | 9730 | 18_felix_his_he_the |
19 | ghost - his - he - you - the | 8120 | 19_ghost_his_he_you |
Training hyperparameters
- calculate_probabilities: False
- language: multilingual
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: None
- seed_topic_list: None
- top_n_words: 10
- verbose: True
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.23.1
- HDBSCAN: 0.8.33
- UMAP: 0.5.5
- Pandas: 1.3.5
- Scikit-Learn: 1.3.2
- Sentence-transformers: 2.3.1
- Transformers: 4.37.2
- Numba: 0.58.1
- Plotly: 5.19.0
- Python: 3.8.10
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