alpinetest

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("Wscherm19/alpinetest")

topic_model.get_topic_info()

Topic overview

• Number of topics: 37
• Number of training documents: 2788

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	unto - people - men - man - great	10	-1_unto_people_men_man
0	florentines - duke - pope - florence - city	1004	0_florentines_duke_pope_florence
1	man - men - things - good - virtue	274	1_man_men_things_good
2	army - enemy - soldiers - romans - chap	212	2_army_enemy_soldiers_romans
3	law - power - sovereign - commonwealth - nature	135	3_law_power_sovereign_commonwealth
4	prince - thou - ought - subjects - princes	118	4_prince_thou_ought_subjects
5	adam - right - power - dominion - children	79	5_adam_right_power_dominion
6	commonweal - aristotle - oligarchie - democratie - government	67	6_commonweal_aristotle_oligarchie_democratie
7	king - unto - charles - france - kingdom	57	7_king_unto_charles_france
8	turk - turks - forces - princes - christians	54	8_turk_turks_forces_princes
9	parliament - law - house - england - page	51	9_parliament_law_house_england
10	church - ceremonies - churches - things - god	49	10_church_ceremonies_churches_things
11	commonwealth - people - unto - senate - popular	48	11_commonwealth_people_unto_senate
12	trade - east - england - wares - india	48	12_trade_east_england_wares
13	scripture - church - god - christ - things	45	13_scripture_church_god_christ
14	earl - king - did - henry - richard	43	14_earl_king_did_henry
15	magistrates - power - unto - law - judges	36	15_magistrates_power_unto_law
16	god - moses - israel - kingdom - king	36	16_god_moses_israel_kingdom
17	prince - unto - tyrant - subjects - good	33	17_prince_unto_tyrant_subjects
18	fol - cities - city - great - miles	33	18_fol_cities_city_great
19	god - spirit - resurrection - shall - scripture	31	19_god_spirit_resurrection_shall
20	lord - oh - hamlet - thy - thou	31	20_lord_oh_hamlet_thy
21	silver - money - deniers - gold - thousand	30	21_silver_money_deniers_gold
22	church - christian - pope - civil - sovereign	27	22_church_christian_pope_civil
23	shall - unto - council - tribe - ballot	26	23_shall_unto_council_tribe
24	thou - war - thy - tac - hist	25	24_thou_war_thy_tac
25	chap - people - romans - senate - rome	23	25_chap_people_romans_senate
26	laws - king - monarchy - government - power	20	26_laws_king_monarchy_government
27	town - people - did - men - athenians	19	27_town_people_did_men
28	page - majesty - highness - chap - royal	19	28_page_majesty_highness_chap
29	christ - god - jesus - savior - apostles	19	29_christ_god_jesus_savior
30	senate - people - unto - power - magistrates	17	30_senate_people_unto_power
31	noble - alexander - man - wise - men	17	31_noble_alexander_man_wise
32	law - god - laws - things - reason	14	32_law_god_laws_things
33	citisens - slaves - citisen - strangers - unto	13	33_citisens_slaves_citisen_strangers
34	enquest - say - judges - man - law	13	34_enquest_say_judges_man
35	princes - empire - emperor - alliance - swissers	12	35_princes_empire_emperor_alliance

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: 1.26.4
• HDBSCAN: 0.8.39
• UMAP: 0.5.7
• Pandas: 2.2.2
• Scikit-Learn: 1.5.2
• Sentence-transformers: 3.2.1
• Transformers: 4.46.1
• Numba: 0.60.0
• Plotly: 5.24.1
• Python: 3.10.12