bertopic_sim85_20topics_raw

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_sim85_20topics_raw")

topic_model.get_topic_info()

Topic overview

• Number of topics: 29
• Number of training documents: 56774

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
0	loud - very - really - not -	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	loud
1	snooze - - - -	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	snooze
2	the - math - - -	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	math
3	premium - - - -	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	premium*
4	be - the - it - to - and	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	-1_be_the_it_to
5	app - the - be - alarm - to	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	0_app_the_be_alarm
6	good - nice - excellent - very - awesome	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	1_good_nice_excellent_very
7	work - easy - helpful - useful - very	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	2_work_easy_helpful_useful
8	ok - well - op - gud - one	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	3_ok_well_op_gud
9	hai - hi - nahi - nhi - se	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	4_hai_hi_nahi_nhi
10	ring - not - do - it - sometimes	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	5_ring_not_do_it
11	subscription - - - -	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	6_subscription___
12	aap - ap - good - nice - very	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	7_aap_ap_good_nice
13	star - late - give - because - time	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	8_star_late_give_because
14	pay - dependable - expensive - worth - money	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	9_pay_dependable_expensive_worth
15	que - la - de - para - es	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	10_que_la_de_para
16	life - change - save - saver - my	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	11_life_change_save_saver
17	experience - fail - never - fun - challenge	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	12_experience_fail_never_fun
18	osm - awsm - ossm - ossum - owsm	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	13_osm_awsm_ossm_ossum
19	annoying - suck - hate - it - complaint	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	14_annoying_suck_hate_it
20	vry - good - vgood - vv - app	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	15_vry_good_vgood_vv
21	nic - mst - nicr - nc - nicw	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	16_nic_mst_nicr_nc
22	s3 - galaxy - samsung - 71 - a71android	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	17_s3_galaxy_samsung_71
23	camera - - - -	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	18_camera___
24	subscription - - - -	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	19_subscription___
25	full - what - need - exactly - just	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	20_full_what_need_exactly
26	alam - alamy - alamr - good - spiritual	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	21_alam_alamy_alamr_good
27	supper - chef - kiss - alaram - app	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	22_supper_chef_kiss_alaram
28	go - just - for - it - thought	Topic Count
4 5 20603
28 4 15906
5 6 11694
10 7 3149
6 8 1460
8 9 1031
20 10 649
14 11 379
11 12 373
22 13 213
16 14 197
9 15 183
15 16 171
12 17 164
23 18 147
7 19 105
18 20 59
13 21 49
17 22 47
25 23 45
24 24 43
21 25 36
0 0 27
19 26 15
26 27 13
27 28 11
1 1 3
2 2 1
3 3 1	23_go_just_for_it

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: 1.26.4
• 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