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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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# TopicModel_StoreReviews |
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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/TopicModel_StoreReviews") |
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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: 10 |
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* Number of training documents: 14747 |
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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 | clothing - clothes - fashion - clothe - clothing store | 2672 | Fashionable Clothing Selection | |
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| 1 | shopping - shop - price - cheap - store | 1864 | Diverse Shopping Experiences | |
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| 2 | tidy - clean - branch - range - renovation | 1807 | Clean Retail Space | |
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| 3 | quality - offer - use - stop - good | 1793 | Quality Offer Search | |
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| 4 | selection - choice - large - large selection - size | 1459 | Large Size Selection | |
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| 5 | advice - saleswoman - service - friendly - competent | 1447 | Friendly Saleswoman Service | |
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| 6 | staff - friendly staff - staff staff - staff friendly - friendly | 1177 | Friendly Staff Selection | |
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| 7 | wow - waw - oh - yeah - | 1108 | Expressive Words Discovery | |
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| 8 | voucher - money - return - exchange - cash | 933 | Customer Return Experience | |
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| 9 | super - friendly super - super friendly - pleasure - super service | 487 | super friendly service | |
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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: 4.39.3 |
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* Numba: 0.59.1 |
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* Plotly: 5.21.0 |
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* Python: 3.10.13 |
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