MARTINI_enrich_BERTopic_zoomerwaffen08
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_zoomerwaffen08")
topic_model.get_topic_info()
Topic overview
- Number of topics: 13
- Number of training documents: 1353
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
-1 | whites - racist - trump - democracy - migrants | 20 | -1_whites_racist_trump_democracy |
0 | netanyahu - hamas - yemen - missiles - zelensky | 766 | 0_netanyahu_hamas_yemen_missiles |
1 | racism - diversity - whites - reparations - supremacy | 189 | 1_racism_diversity_whites_reparations |
2 | twitter - deleted - advertisers - antisemite - boycotts | 89 | 2_twitter_deleted_advertisers_antisemite |
3 | immigrants - billion - unaffordable - gdp - illegal | 54 | 3_immigrants_billion_unaffordable_gdp |
4 | orwellian - tyrannies - communists - idiots - jfk | 36 | 4_orwellian_tyrannies_communists_idiots |
5 | illegals - refugees - sanctuary - denver - hochul | 36 | 5_illegals_refugees_sanctuary_denver |
6 | biden - doocy - smartest - afghanistan - sniff | 32 | 6_biden_doocy_smartest_afghanistan |
7 | subscribers - thanks - conspiracy - follow - 28 | 30 | 7_subscribers_thanks_conspiracy_follow |
8 | trump - mccarthy - judge - unhinged - hitler | 29 | 8_trump_mccarthy_judge_unhinged |
9 | deportations - netherlands - germans - fracking - muslims | 27 | 9_deportations_netherlands_germans_fracking |
10 | airplane - pilot - boeing - dreamliner - landing | 23 | 10_airplane_pilot_boeing_dreamliner |
11 | bidenomics - stagflation - krugman - petrodollar - russia | 22 | 11_bidenomics_stagflation_krugman_petrodollar |
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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