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:
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
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the model is not deployed on the HF Inference API.