bertopic_ready_labeled

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("DobreMihai/bertopic_ready_labeled")

topic_model.get_topic_info()

Topic overview

• Number of topics: 16
• Number of training documents: 24020

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	be - it - the - to - alarm	11	-1_be_it_the_to
0	math - app - up - to - wake	9581	Math
1	not - the - alarm - it - off	4179	Sometimes not Ringing
2	snooze - - - -	2294	Good App
3	loud - - - -	2279	Premium Subscription
4	be - premium - the - to - pay	1866	Loud
5	camera - - - -	1753	Take Photo
6	snooze - the - to - be - button	603	Snooze
7	easy - use - simple - and - to	381	Easy to Use
8	barcode - scan - the - code - to	294	Barcode Scanner
9	ring - not - it - do - work	282	Update
10	shake - it - the - phone - to	263	Shake Mission
11	horoscope - be - it - and - news	99	Horoscope/News
12	hot - phone - overheat - my - heat	93	Overheating
13	mb - space - storage - app - be	21	Storage Size
14	challenge - solve - purpose - fun - winner	21	Challenges

Training hyperparameters

• calculate_probabilities: False
• language: english
• low_memory: False
• min_topic_size: 10
• n_gram_range: (1, 1)
• nr_topics: 50
• seed_topic_list: None
• top_n_words: 10
• verbose: False
• zeroshot_min_similarity: 0.85
• zeroshot_topic_list: ['android', 'premium*', 'ads', 'math', 'subscription', 'update', 'camera', 'shake', 'weather', 'snooze', 'loud', 'doesn', 'off']

Framework versions

• Numpy: 1.26.4
• HDBSCAN: 0.8.38.post1
• UMAP: 0.5.6
• Pandas: 2.2.1
• Scikit-Learn: 1.5.2
• Sentence-transformers: 3.1.0
• Transformers: 4.44.2
• Numba: 0.60.0
• Plotly: 5.24.1
• Python: 3.10.15