--- tags: - bertopic library_name: bertopic pipeline_tag: text-classification --- # 1M_bert This is a [BERTopic](https://github.com/MaartenGr/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: ```python 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