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AIDA-UPM/
MARTINI_enrich_BERTopic_redlistupdatesuk

Name: MARTINI_enrich_BERTopic_redlistupdatesuk
Availability: InStock

bertopic

text-classification

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MARTINI_enrich_BERTopic_redlistupdatesuk

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("AIDA-UPM/MARTINI_enrich_BERTopic_redlistupdatesuk")

topic_model.get_topic_info()

Topic overview

Number of topics: 11
Number of training documents: 789

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	covid - freedom - ukraine - everyone - telegram	22	-1_covid_freedom_ukraine_everyone
0	novavax - vaccinated - injections - bivalent - 2021	365	0_novavax_vaccinated_injections_bivalent
1	rallies - wokingham - wrldwide - free - leaflets	117	1_rallies_wokingham_wrldwide_free
2	amendments - pandemic - sovereignty - geneva - misinformation	59	2_amendments_pandemic_sovereignty_geneva
3	ukcolumn - livestream - 1pm - unmonitored - july	56	3_ukcolumn_livestream_1pm_unmonitored
4	brainwashed - davos - noory - influence - communism	44	4_brainwashed_davos_noory_influence
5	cashless - card - trains - natwest - closes	29	5_cashless_card_trains_natwest
6	nhs - doctors - britain - davies - artificial	25	6_nhs_doctors_britain_davies
7	ofcom - legislating - censorious - privacy - safer	24	7_ofcom_legislating_censorious_privacy
8	london - thetford - councillors - emissions - mile	24	8_london_thetford_councillors_emissions
9	britcoin - biometrics - identities - passport - parliament	24	9_britcoin_biometrics_identities_passport

Training hyperparameters

calculate_probabilities: True
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: 0.8.40
UMAP: 0.5.7
Pandas: 2.2.3
Scikit-Learn: 1.5.2
Sentence-transformers: 3.3.1
Transformers: 4.46.3
Numba: 0.60.0
Plotly: 5.24.1
Python: 3.10.12