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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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# testing_b |
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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/testing_b") |
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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: 20 |
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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 | 12 | -1_killiair_flight_service_customer | |
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| 0 | killiair - flight - airport - time - doha | 2257 | 0_killiair_flight_airport_time | |
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| 1 | bag - luggage - bags - cabin - pay | 847 | 1_bag_luggage_bags_cabin | |
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| 2 | jet - ryan - easy - air - flight | 499 | 2_jet_ryan_easy_air | |
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| 3 | refund - flight - cancelled - customer - service | 312 | 3_refund_flight_cancelled_customer | |
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| 4 | flight - delayed - delay - gatwick - hours | 229 | 4_flight_delayed_delay_gatwick | |
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| 5 | check - change - online - pay - fee | 173 | 5_check_change_online_pay | |
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| 6 | food - seat - meal - flight - plane | 151 | 6_food_seat_meal_flight | |
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| 7 | seats - seat - class - killiair - extra | 150 | 7_seats_seat_class_killiair | |
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| 8 | star - stressstress - stress - stars - zero | 149 | 8_star_stressstress_stress_stars | |
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| 9 | company - customer - worst - service - terrible | 74 | 9_company_customer_worst_service | |
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| 10 | thank - amazing - crew - flight - thanks | 73 | 10_thank_amazing_crew_flight | |
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| 11 | car - hire - rental - insurance - card | 62 | 11_car_hire_rental_insurance | |
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| 12 | stansted - flight - airport - parking - killiair | 39 | 12_stansted_flight_airport_parking | |
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| 13 | passport - date - son - gate - check | 33 | 13_passport_date_son_gate | |
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| 14 | chat - customer - service - reach - ai | 20 | 14_chat_customer_service_reach | |
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| 15 | voucher - rune - residual - booking - refund | 15 | 15_voucher_rune_residual_booking | |
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| 16 | band - word - easy - corporate - sue | 14 | 16_band_word_easy_corporate | |
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| 17 | malaga - page - alicante - taxi - killiair | 13 | 17_malaga_page_alicante_taxi | |
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| 18 | good - friendly - sh - service - late | 12 | 18_good_friendly_sh_service | |
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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: 20 |
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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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