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karinegabsschon/
BERTopic_Social

Name: BERTopic_Social
Availability: InStock

bertopic

text-classification

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BERTopic_Social

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("karinegabsschon/BERTopic_Social")

topic_model.get_topic_info()

Topic overview

Number of topics: 13
Number of training documents: 205

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	new - electric - seat - car - manual	5	-1_new_electric_seat_car
0	electric - car - ev - charging - cent	25	0_electric_car_ev_charging
1	tesla - musk - elon - elon musk - vehicle	54	1_tesla_musk_elon_elon musk
2	new - nissan - citroen - car - retro	30	2_new_nissan_citroen_car
3	percent - cars - car - private - electric	15	3_percent_cars_car_private
4	chinese - china - electric - xiaomi - cars	15	4_chinese_china_electric_xiaomi
5	electric - vehicles - french - electric car - price	12	5_electric_vehicles_french_electric car
6	renault - car - electric - mg - new	12	6_renault_car_electric_mg
7	german - trust - brands - quality - german brands	9	7_german_trust_brands_quality
8	units - electric - april - russia - electric vehicles	8	8_units_electric_april_russia
9	sharing - car sharing - car - audi - club	8	9_sharing_car sharing_car_audi
10	used - carmax - car - used car - cars	6	10_used_carmax_car_used car
11	best - ev9 - puma - edmunds - electric	6	11_best_ev9_puma_edmunds

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: True
zeroshot_min_similarity: 0.7
zeroshot_topic_list: None

Framework versions

Numpy: 2.0.2
HDBSCAN: 0.8.40
UMAP: 0.5.8
Pandas: 2.2.2
Scikit-Learn: 1.6.1
Sentence-transformers: 4.1.0
Transformers: 4.53.0
Numba: 0.60.0
Plotly: 5.24.1
Python: 3.11.13