|
|
| --- |
| tags: |
| - bertopic |
| library_name: bertopic |
| pipeline_tag: text-classification |
| --- |
| |
| # Emirates_BERTopic |
| |
| 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("sneakykilli/Emirates_BERTopic") |
| |
| topic_model.get_topic_info() |
| ``` |
| |
| ## Topic overview |
| |
| * Number of topics: 11 |
| * Number of training documents: 375 |
| |
| <details> |
| <summary>Click here for an overview of all topics.</summary> |
| |
| | Topic ID | Topic Keywords | Topic Frequency | Label | |
| |----------|----------------|-----------------|-------| |
| | -1 | emirates - airline - airlines - flights - refund | 9 | -1_emirates_airline_airlines_flights | |
| | 0 | emirates - airlines - airline - dubai - flights | 100 | 0_emirates_airlines_airline_dubai | |
| | 1 | airline - airlines - flights - aviation - planes | 68 | 1_airline_airlines_flights_aviation | |
| | 2 | emirates - meals - meal - attendant - airline | 35 | 2_emirates_meals_meal_attendant | |
| | 3 | emirates - refund - cancel - booking - ticket | 34 | 3_emirates_refund_cancel_booking | |
| | 4 | airline - refunded - refund - ticket - booking | 28 | 4_airline_refunded_refund_ticket | |
| | 5 | emirates - dubai - baggage - luggage - airline | 26 | 5_emirates_dubai_baggage_luggage | |
| | 6 | emirates - airline - refund - seats - flights | 26 | 6_emirates_airline_refund_seats | |
| | 7 | emirates - airlines - airline - booking - fees | 23 | 7_emirates_airlines_airline_booking | |
| | 8 | passengers - airline - emirates - stewardess - aisle | 14 | 8_passengers_airline_emirates_stewardess | |
| | 9 | emirates - delayed - dubai - delays - flights | 12 | 9_emirates_delayed_dubai_delays | |
| |
| </details> |
| |
| ## Training hyperparameters |
| |
| * calculate_probabilities: False |
| * language: None |
| * low_memory: False |
| * min_topic_size: 5 |
| * n_gram_range: (1, 1) |
| * nr_topics: None |
| * seed_topic_list: None |
| * top_n_words: 10 |
| * verbose: False |
| * zeroshot_min_similarity: 0.7 |
| * zeroshot_topic_list: None |
| |
| ## Framework versions |
| |
| * Numpy: 1.24.3 |
| * HDBSCAN: 0.8.33 |
| * UMAP: 0.5.5 |
| * Pandas: 2.0.3 |
| * Scikit-Learn: 1.2.2 |
| * Sentence-transformers: 2.3.1 |
| * Transformers: 4.36.2 |
| * Numba: 0.57.1 |
| * Plotly: 5.16.1 |
| * Python: 3.10.12 |
| |
