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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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# Topic_Modelling_Airlines_BERTopic |
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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("sneakykilli/Topic_Modelling_Airlines_BERTopic") |
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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: 17 |
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* Number of training documents: 5134 |
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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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| -1 | killiair - flight - service - customer - airport | 23 | -1_killiair_flight_service_customer | |
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| 0 | killiair - doha - flight - service - worst | 2399 | poor_customer_experience | |
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| 1 | bag - luggage - cabin - bags - pay | 639 | luggage_fee | |
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| 2 | flight - delayed - hours - delay - killiair | 386 | delays | |
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| 3 | check - ryan - online - air - killiair | 334 | check_in_process | |
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| 4 | refund - killiair - flight - cancelled - booking | 293 | refund | |
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| 5 | jet - easy - flight - cancelled - refund | 237 | refund_cancelled_flights | |
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| 6 | seats - seat - plane - flight - killiair | 227 | inflight_facilities | |
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| 7 | luggage - lost - bag - killiair - baggage | 154 | luggage_lost | |
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| 8 | holiday - holidays - hotel - killiair - booked | 102 | hotel | |
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| 9 | thank - amazing - crew - flight - thanks | 81 | good_customer_experience | |
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| 10 | change - price - 115 - fare - booking | 59 | change_ticket_fee | |
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| 11 | food - meal - dubai - flight - killiair | 48 | inflight_service | |
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| 12 | car - hire - rental - insurance - card | 47 | car | |
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| 13 | seats - seat - paid - extra - window | 41 | seating_fees | |
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| 14 | service - killiair - customer - zero - customers | 37 | poor_customer_experience | |
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| 15 | stansted - flight - airport - parking - killiair | 27 | airport_facilities | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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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: False |
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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: 1.24.3 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.5 |
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* Pandas: 2.0.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.3.1 |
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* Transformers: 4.36.2 |
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* Numba: 0.57.1 |
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* Plotly: 5.16.1 |
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* Python: 3.10.12 |
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