MARTINI_enrich_BERTopic_thepeopleslawyerchannel

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_thepeopleslawyerchannel")

topic_model.get_topic_info()

Topic overview

  • Number of topics: 26
  • Number of training documents: 2705
Click here for an overview of all topics.
Topic ID Topic Keywords Topic Frequency Label
-1 unvaccinated - mandates - pfizer - 2021 - freedom 20 -1_unvaccinated_mandates_pfizer_2021
0 vaers - myocarditis - 2022 - died - footballer 1183 0_vaers_myocarditis_2022_died
1 donetsk - russians - zelensky - ukrainian - sanctions 206 1_donetsk_russians_zelensky_ukrainian
2 awakening - indoctrination - reality - freedom - god 190 2_awakening_indoctrination_reality_freedom
3 pandemics - amendments - sovereignty - parliament - geneva 139 3_pandemics_amendments_sovereignty_parliament
4 cashless - banknotes - debit - wallet - rbnz 100 4_cashless_banknotes_debit_wallet
5 alarmists - climatologist - thunberg - greenland - co2 94 5_alarmists_climatologist_thunberg_greenland
6 conspirach - msnbc - titanic - instagrammable - download 92 6_conspirach_msnbc_titanic_instagrammable
7 trump - democrats - gabbard - warmongers - overthrow 77 7_trump_democrats_gabbard_warmongers
8 millionlightpaperandleaflet - berkshirefreedom - canterbury - boards - yellow 55 8_millionlightpaperandleaflet_berkshirefreedom_canterbury_boards
9 treasury - trillions - bankruptcy - blackrock - lockdown 54 9_treasury_trillions_bankruptcy_blackrock
10 schooling - indoctrination - pedophiles - stopworldcontrol - prisons 50 10_schooling_indoctrination_pedophiles_stopworldcontrol
11 vaxxed - thimerosal - adjuvants - injected - grafene 49 11_vaxxed_thimerosal_adjuvants_injected
12 thepeopleslawyeruk - tpl - cornwall - plumstead - event 44 12_thepeopleslawyeruk_tpl_cornwall_plumstead
13 vaccine - mhra - broadyorkshirelaw - constables - victims 42 13_vaccine_mhra_broadyorkshirelaw_constables
14 trudeau - convoys - dictatorship - protesters - romania 39 14_trudeau_convoys_dictatorship_protesters
15 hamas - zionists - matisyahu - israelis - haifa 35 15_hamas_zionists_matisyahu_israelis
16 bolsonaro - brasilia - moraes - protesters - inviolable 34 16_bolsonaro_brasilia_moraes_protesters
17 radiation - fluorescent - antenna - 5g - milliwatts 33 17_radiation_fluorescent_antenna_5g
18 parliament - petition - deaths - saveoursovereignty - wales 31 18_parliament_petition_deaths_saveoursovereignty
19 gmos - additives - edible - worms - nuts 29 19_gmos_additives_edible_worms
20 immigrants - texas - billion - invading - border 27 20_immigrants_texas_billion_invading
21 sarscov - peramivir - parainfluenza - adenovirus - swab 21 21_sarscov_peramivir_parainfluenza_adenovirus
22 chemtrails - contrails - spraying - fog - pilot 21 22_chemtrails_contrails_spraying_fog
23 britishlionsforfreedom - worldwidedemonstration - cardiff - 2023 - july 20 23_britishlionsforfreedom_worldwidedemonstration_cardiff_2023
24 electricity - billing - petrol - meters - fraudsters 20 24_electricity_billing_petrol_meters

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
Downloads last month
4
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.