BERTopic_6_months

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("karinegabsschon/BERTopic_6_months")

topic_model.get_topic_info()

Topic overview

• Number of topics: 80
• Number of training documents: 5537

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	electric - vehicles - car - cars - ev	21	electric cars
0	grant - scheme - car grant - government - 750	1297	electric vehicles
1	charging - chargers - public - ev - drivers	216	ev charging
2	tesla - musk - model - company - elon	215	tesla shares
3	uk - government - zero - mandate - targets	153	diesel cars
4	tesla - sales - musk - tesla sales - year	113	tesla sales
5	kia - range - car - hyundai - electric	108	kia ev9
6	xiaomi - yu7 - su7 - china - chinese	107	xiaomi yu7
7	tax - car tax - car - rates - pay	106	car tax
8	tax - spd - purchase - coalition - funding	104	purchase incentives
9	charging - energy - solutions - ev charging - ev	98	ev charging
10	charging - romania - abstract - electric - charging points	98	ev charging
11	toyota - honda - subaru - japanese - nissan	96	electric vehicles
12	battery - batteries - catl - lithium - solid	89	ev battery
13	byd - charging - minutes - fast - han	85	megawatt charging
14	charging - stations - charging stations - charging points - points	84	charging infrastructure
15	fires - battery - safety - police - car	83	ev fires
16	byd - tesla - sales - chinese - year	80	tesla sales
17	ford - farley - company - platform - kentucky	78	ford ceo
18	india - indian - ev - tata - mobility	75	tata motors
19	ukraine - units - used - region - kyiv	72	vehicles ukraine
20	percent - cars - registrations - germany - registered	66	electric cars
21	vinfast - vf - vietnam - green - philippines	63	vinfast auto
22	used - used car - used electric - percent - battery	62	electric cars
23	new - registrations - new car - sales - year	59	ev sales
24	id - volkswagen - every1 - vw - id every1	58	volkswagen id
25	mercedes - cla - new - range - eqs	56	mercedes cla
26	emissions - electricity - study - cars - combustion	53	electric cars
27	tariffs - eu - china - mexico - trade	51	tariffs chinese
28	car - charge - miles - ve - trip	51	electric car
29	byd - chinese - price war - price - war	49	chinese car
30	rivian - r2 - nasdaq - rivn - scaringe	48	rivian automotive
31	charging - stations - charging stations - terminals - station	47	charging stations
32	percent - registrations - eu - cars - year	46	electric cars
33	licensed - cars licensed - czech - czech republic - republic	44	electric cars
34	hungary - byd - huf - chinese - serbia	41	chinese electric
35	moves - aid - moves iii - iii - euros	40	electric vehicles
36	china - shanghai - chinese - market - car	40	chinese automotive
37	stellantis - ferrari - fiat - lamborghini - italian	40	electric car
38	indonesia - lg - alpine - battery - ev battery	39	indonesia battery
39	tesla - musk - black - elon - tsla	39	tesla
40	foxconn - mitsubishi - nissan - japanese - mitsubishi motors	39	japanese automaker
41	credit - tax - trump - tax credit - states	38	electric vehicle
42	storage - electricity - energy - batteries - grid	38	energy storage
43	european - commission - eu - industry - emissions	37	european automotive
44	dolphin - surf - dolphin surf - byd - euros	37	dolphin surf
45	german - vw - place - market - brands	37	german car
46	russia - russian - stations - electric - moscow	37	russia electric
47	slate - truck - northvolt - bezos - slate auto	36	slate truck
48	audi - porsche - döllner - cellforce - tt	36	audi
49	bonus - euros - ecological - aid - energy	36	purchase electric
50	percent - cars - city - registered - vienna	35	electric cars
51	used - value - cent - used car - prices	34	ev values
52	points - spain - charging points - charging - indicator	33	charging infrastructure
53	gm - general motors - general - motors - equinox	33	ev gm
54	million - sales - china - global - electric	33	ev market
55	nio - firefly - onvo - chinese - li	31	nio tesla
56	california - trump - federal - states - vehicle	31	california electric
57	lucid - nikola - lcid - uber - nasdaq	30	lucid shares
58	breakdown - barriers - cent - adac - breakdowns	30	electric cars
59	nissan - leaf - micra - generation - new	29	nissan leaf
60	uzbekistan - kazakhstan - proton - stations - tashkent	28	uzbekistan
61	range - kilometers - test - km - real	28	electric car
62	french - france - electric - centrale - la centrale	27	electric cars
63	xpeng - p7 - ai - g6 - chinese	27	xpeng g6
64	belarus - belgee - charging - belorusneft - stations	26	belarus electric
65	volkswagen - group - vw - europe - deliveries	26	germany volkswagen
66	tesla - musk - protests - elon - elon musk	26	tesla takedown
67	pod - pod point - edf - point - owen	26	pod point
68	combustion - price - discounts - gap - dudenhöffer	26	electric cars
69	cost - costs - charge - price cap - cap	25	charge ev
70	recycling - batteries - battery - battery recycling - lithium	25	battery recycling
71	record - kilometers - lucid - amg - mercedes	25	electric car
72	leapmotor - c10 - stellantis - t03 - grant	25	leapmotor uk
73	percent - survey - respondents - car - cars	24	electric car
74	renault - r5 - twingo - r4 - car	24	renault r5
75	musk - trump - elon - elon musk - president	23	tesla
76	mg - s5 - mg4 - cyberster - s5 ev	22	mgs5 ev
77	spain - units - year - electrified - month	22	electric cars
78	london - congestion - congestion charge - tfl - charge	22	exemption evs

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: 0.5.9.post2
• Pandas: 2.2.2
• Scikit-Learn: 1.6.1
• Sentence-transformers: 5.1.0
• Transformers: 4.55.4
• Numba: 0.60.0
• Plotly: 5.24.1
• Python: 3.12.11