| |
|
| | --- |
| | tags: |
| | - bertopic |
| | library_name: bertopic |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # rag-topic-model |
| |
|
| | 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("jkdamilola/rag-topic-model") |
| | |
| | topic_model.get_topic_info() |
| | ``` |
| |
|
| | ## Topic overview |
| |
|
| | * Number of topics: 6 |
| | * Number of training documents: 168 |
| |
|
| | <details> |
| | <summary>Click here for an overview of all topics.</summary> |
| |
|
| | | Topic ID | Topic Keywords | Topic Frequency | Label | |
| | |----------|----------------|-----------------|-------| |
| | | -1 | to - klarna - for - my - the | 10 | -1_to_klarna_for_my | |
| | | 0 | klarna - declined - my - in - ive | 63 | 0_klarna_declined_my_in | |
| | | 1 | payment - the - to - for - pay | 33 | 1_payment_the_to_for | |
| | | 2 | my - details - klarna - and - call | 27 | 2_my_details_klarna_and | |
| | | 3 | store - refund - back - the - credit | 23 | 3_store_refund_back_the | |
| | | 4 | the - shoes - ago - havent - sneakers | 12 | 4_the_shoes_ago_havent | |
| |
|
| | </details> |
| |
|
| | ## Training hyperparameters |
| |
|
| | * calculate_probabilities: False |
| | * language: None |
| | * low_memory: False |
| | * min_topic_size: 10 |
| | * n_gram_range: (1, 1) |
| | * nr_topics: auto |
| | * seed_topic_list: None |
| | * top_n_words: 10 |
| | * verbose: False |
| | * zeroshot_min_similarity: 0.7 |
| | * zeroshot_topic_list: None |
| | |
| | ## Framework versions |
| | |
| | * Numpy: 1.26.4 |
| | * HDBSCAN: 0.8.40 |
| | * UMAP: 0.5.7 |
| | * Pandas: 2.2.3 |
| | * Scikit-Learn: 1.6.1 |
| | * Sentence-transformers: 3.1.1 |
| | * Transformers: 4.42.2 |
| | * Numba: 0.60.0 |
| | * Plotly: 6.1.2 |
| | * Python: 3.9.6 |
| | |
