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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# BERTopic_vjuly |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("shantanudave/BERTopic_vjuly") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 18 |
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* Number of training documents: 8526 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| 0 | payment - pay - card - bank - money | 742 | Payment Issues Detection | |
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| 1 | load - slow - search - article - doesnt | 705 | Slow Search Function | |
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| 2 | clothes - clothing - size - fashion - large size | 683 | Large Size Quality Clothing | |
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| 3 | bon - - - - | 668 | bon documents collection | |
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| 4 | clear - intuitive - clear easy - recommend - selection | 665 | Easy Clear Navigation | |
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| 5 | - - - - | 649 | Keyword-Driven Document Analysis | |
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| 6 | shopping - staff - friendly - store - satisfy | 578 | Friendly staff satisfaction | |
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| 7 | delivery - fast delivery - fast - shipping - ship | 563 | Fast Delivery Quality | |
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| 8 | cart - shop cart - log - password - add | 548 | Shopping Cart Issues | |
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| 9 | easy use - easy - use - use easy - quick easy | 531 | Quick & Easy Solutions | |
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| 10 | awesome - excellent - think - clearly - phenomenal | 462 | Really Phenomenal Clear Thinking | |
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| 11 | quality - price - quality quality - price quality - comfortable | 454 | Excellent Quality Price | |
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| 12 | work work - work - work quickly - flawlessly - work flawlessly | 390 | Efficient Flawless Work | |
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| 13 | super super - super - superb - superb super - super friendly | 349 | Superb Friendly Coat | |
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| 14 | really simple - ra - solve problem - control - satisfied easy | 145 | User-Friendly Problem Solver | |
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| 15 | clear clear - clear - fast clear - clear fast - super clear | 144 | Clear and Transparent Working | |
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| 16 | discover - stuff good - stuff - fact - clearly | 129 | Discovering Interesting Facts | |
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| 17 | satisfied - satisfaction - totally satisfied - satisfied good - completely satisfied | 121 | Utmost Satisfaction | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: True |
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* language: None |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: None |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: True |
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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.23.5 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.5 |
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* Pandas: 1.3.5 |
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* Scikit-Learn: 1.4.1.post1 |
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* Sentence-transformers: 2.6.1 |
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* Transformers: 4.41.2 |
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* Numba: 0.59.1 |
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* Plotly: 5.22.0 |
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* Python: 3.10.13 |
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