metadata
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
Emirates_BERTopic
This is a 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:
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
Click here for an overview of all topics.
| 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 |
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