|
|
| --- |
| tags: |
| - bertopic |
| library_name: bertopic |
| pipeline_tag: text-classification |
| --- |
| |
| # Topic_Modelling_Airlines_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/Topic_Modelling_Airlines_BERTopic") |
| |
| topic_model.get_topic_info() |
| ``` |
| |
| ## Topic overview |
| |
| * Number of topics: 17 |
| * Number of training documents: 5134 |
| |
| <details> |
| <summary>Click here for an overview of all topics.</summary> |
| |
| | Topic ID | Topic Keywords | Topic Frequency | Label | |
| |----------|----------------|-----------------|-------| |
| | -1 | killiair - flight - service - customer - airport | 23 | -1_killiair_flight_service_customer | |
| | 0 | killiair - doha - flight - service - worst | 2399 | poor_customer_experience | |
| | 1 | bag - luggage - cabin - bags - pay | 639 | luggage_fee | |
| | 2 | flight - delayed - hours - delay - killiair | 386 | delays | |
| | 3 | check - ryan - online - air - killiair | 334 | check_in_process | |
| | 4 | refund - killiair - flight - cancelled - booking | 293 | refund | |
| | 5 | jet - easy - flight - cancelled - refund | 237 | refund_cancelled_flights | |
| | 6 | seats - seat - plane - flight - killiair | 227 | inflight_facilities | |
| | 7 | luggage - lost - bag - killiair - baggage | 154 | luggage_lost | |
| | 8 | holiday - holidays - hotel - killiair - booked | 102 | hotel | |
| | 9 | thank - amazing - crew - flight - thanks | 81 | good_customer_experience | |
| | 10 | change - price - 115 - fare - booking | 59 | change_ticket_fee | |
| | 11 | food - meal - dubai - flight - killiair | 48 | inflight_service | |
| | 12 | car - hire - rental - insurance - card | 47 | car | |
| | 13 | seats - seat - paid - extra - window | 41 | seating_fees | |
| | 14 | service - killiair - customer - zero - customers | 37 | poor_customer_experience | |
| | 15 | stansted - flight - airport - parking - killiair | 27 | airport_facilities | |
| |
| </details> |
| |
| ## Training hyperparameters |
| |
| * calculate_probabilities: False |
| * language: None |
| * low_memory: False |
| * min_topic_size: 10 |
| * 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 |
| |
