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Add BERTopic model

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+
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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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+
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+ # Qatar_BERTopic
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+
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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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+
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+ ## Usage
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+
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+ To use this model, please install BERTopic:
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+
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+ ```
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+ pip install -U bertopic
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+ ```
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+
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+ You can use the model as follows:
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+
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+ ```python
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+ from bertopic import BERTopic
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+ topic_model = BERTopic.load("sneakykilli/Qatar_BERTopic")
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+
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+ topic_model.get_topic_info()
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+ ```
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+
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+ ## Topic overview
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+
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+ * Number of topics: 22
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+ * Number of training documents: 714
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+
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+ <details>
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+ <summary>Click here for an overview of all topics.</summary>
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+
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+ | Topic ID | Topic Keywords | Topic Frequency | Label |
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+ |----------|----------------|-----------------|-------|
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+ | -1 | doha - qatar - airline - airlines - refund | 5 | -1_doha_qatar_airline_airlines |
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+ | 0 | doha - qatar - airline - airlines - flights | 211 | 0_doha_qatar_airline_airlines |
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+ | 1 | refund - refunded - refunds - booking - voucher | 78 | 1_refund_refunded_refunds_booking |
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+ | 2 | doha - qatar - baggage - luggage - airline | 72 | 2_doha_qatar_baggage_luggage |
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+ | 3 | airline - passengers - flights - attendant - steward | 49 | 3_airline_passengers_flights_attendant |
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+ | 4 | qatar - airline - airlines - flights - carriers | 44 | 4_qatar_airline_airlines_flights |
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+ | 5 | baggage - doha - airlines - airline - luggage | 39 | 5_baggage_doha_airlines_airline |
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+ | 6 | airline - airlines - flights - emirates - flight | 35 | 6_airline_airlines_flights_emirates |
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+ | 7 | refund - airline - flights - flight - cancel | 32 | 7_refund_airline_flights_flight |
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+ | 8 | airline - airlines - seats - qatar - seating | 28 | 8_airline_airlines_seats_qatar |
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+ | 9 | qatar - doha - airlines - flights - emirates | 18 | 9_qatar_doha_airlines_flights |
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+ | 10 | customer - complaints - service - terrible - horrible | 17 | 10_customer_complaints_service_terrible |
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+ | 11 | qatar - complaint - doha - complaints - airline | 15 | 11_qatar_complaint_doha_complaints |
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+ | 12 | avios - qatar - booking - compensation - aviso | 14 | 12_avios_qatar_booking_compensation |
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+ | 13 | airline - airlines - flight - airplane - horrible | 9 | 13_airline_airlines_flight_airplane |
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+ | 14 | doha - qatar - flights - cancellation - airlines | 8 | 14_doha_qatar_flights_cancellation |
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+ | 15 | doha - qatar - qatari - emirates - flight | 8 | 15_doha_qatar_qatari_emirates |
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+ | 16 | doha - qatar - airlines - bangkok - airport | 8 | 16_doha_qatar_airlines_bangkok |
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+ | 17 | seats - seating - airline - booked - seat | 7 | 17_seats_seating_airline_booked |
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+ | 18 | qatar - opodo - airline - refunded - voucher | 6 | 18_qatar_opodo_airline_refunded |
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+ | 19 | doha - qatar - flight - destinations - airways | 6 | 19_doha_qatar_flight_destinations |
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+ | 20 | qatar - airlines - disability - flight - wheelchair | 5 | 20_qatar_airlines_disability_flight |
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+
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+ </details>
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+
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+ ## Training hyperparameters
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+
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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: 5
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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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+
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+ ## Framework versions
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+
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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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