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sneakykilli/
Topic_Modelling_Airlines_BERTopic

Name: Topic_Modelling_Airlines_BERTopic
Rating: 2.5 (5 reviews)

bertopic

text-classification

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Topic_Modelling_Airlines_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:

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

Click here for an overview of all topics.

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

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