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sdantonio/
BERTopic_TheWellnessCompany

Name: BERTopic_TheWellnessCompany
Availability: InStock

bertopic

text-classification

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BERTopic_TheWellnessCompany

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("sdantonio/BERTopic_TheWellnessCompany")

topic_model.get_topic_info()

Topic overview

Number of topics: 9
Number of training documents: 481

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	thewellnesscompany - shots - reprisal - serves - coulson	12	-1_thewellnesscompany_shots_reprisal_serves
0	thewellnesscompany - gessling - compelling - prolonged - daily_clout	41	0_thewellnesscompany_gessling_compelling_prolonged
1	cardiologists - thewellnesscompany - myocarditis - epidemiologist - publications	138	1_cardiologists_thewellnesscompany_myocarditis_epidemiologist
2	myocarditis - thewellnesscompany - prolonged - shots - reprisal	96	2_myocarditis_thewellnesscompany_prolonged_shots
3	thewellnesscompany - packed - prolonged - dissolved - pomegranate	80	3_thewellnesscompany_packed_prolonged_dissolved
4	thewellnesscompany - tedros - insights - marik - toxicity	52	4_thewellnesscompany_tedros_insights_marik
5	ivermectin - thewellnesscompany - epidemiologist - hydroxychloroquine - misbehavior	21	5_ivermectin_thewellnesscompany_epidemiologist_hydroxychloroquine
6	thewellnesscompany - hearts - concerns - reprisal - shots	21	6_thewellnesscompany_hearts_concerns_reprisal
7	backtobasicsconference - unprepared - pregnancytalk - twcadventures - may9th	20	7_backtobasicsconference_unprepared_pregnancytalk_twcadventures

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: 1.23.5
HDBSCAN: 0.8.38.post1
UMAP: 0.5.6
Pandas: 2.2.2
Scikit-Learn: 1.5.1
Sentence-transformers: 3.0.1
Transformers: 4.44.2
Numba: 0.60.0
Plotly: 5.24.0
Python: 3.10.12