bertopic text-classification region:us
---
library_name: bertopic
pipeline_tag: text-classification
tags:
- bertopic
---

# MARTINI_enrich_BERTopic_darkuniverse09

This is a [BERTopic](https://github.com/MaartenGr/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_darkuniverse09")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 53
* Number of training documents: 5546

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | vaccinated - jabs - ever - 2022 - depopulation | 20 | -1_vaccinated_jabs_ever_2022 | 
| 0 | hulu - seekers - nunchucks - unbelievable - hahahaha | 2810 | 0_hulu_seekers_nunchucks_unbelievable | 
| 1 | ukraine - zelenskaya - sanctions - nazis - monsanto | 215 | 1_ukraine_zelenskaya_sanctions_nazis | 
| 2 | lgbtq - paedophile - nambla - satan - tranny | 135 | 2_lgbtq_paedophile_nambla_satan | 
| 3 | fucks - sucker - bitch - whore - stupid | 118 | 3_fucks_sucker_bitch_whore | 
| 4 | prison - punishable - exonerated - fucks - isaac | 115 | 4_prison_punishable_exonerated_fucks | 
| 5 | propaganda - 7news - subconsciousness - bullshitters - watching | 108 | 5_propaganda_7news_subconsciousness_bullshitters | 
| 6 | haarp - hurricanes - sirens - ionosphere - missiles | 91 | 6_haarp_hurricanes_sirens_ionosphere | 
| 7 | dark_universe - 4biddenknowledge - messages - masktards - impersonate | 86 | 7_dark_universe_4biddenknowledge_messages_masktards | 
| 8 | cashless - banknotes - fdic - bailout - debit | 70 | 8_cashless_banknotes_fdic_bailout | 
| 9 | gates - millions - eugenicist - zika - merck | 69 | 9_gates_millions_eugenicist_zika | 
| 10 | davos - illuminati - plandemics - deglobalization - trudeau | 69 | 10_davos_illuminati_plandemics_deglobalization | 
| 11 | pcr - swab - parainfluenza - test - norovirus | 65 | 11_pcr_swab_parainfluenza_test | 
| 12 | pfizer - liposomal - johnsonandjohnson - undisclosed - fluvoxamine | 64 | 12_pfizer_liposomal_johnsonandjohnson_undisclosed | 
| 13 | maskoholic - rebreathing - illness - psychataxia - mandates | 61 | 13_maskoholic_rebreathing_illness_psychataxia | 
| 14 | meats - cannibals - eaten - mcdonald - rats | 60 | 14_meats_cannibals_eaten_mcdonald | 
| 15 | governments - trump - oligarchy - brainwashed - gtfoh | 57 | 15_governments_trump_oligarchy_brainwashed | 
| 16 | vaccinating - infants - nhs - mengele - jcvi | 57 | 16_vaccinating_infants_nhs_mengele | 
| 17 | protesters - riot - australians - canberra - mayhem | 54 | 17_protesters_riot_australians_canberra | 
| 18 | remedies - honey - herb - cordycep - poisoned | 53 | 18_remedies_honey_herb_cordycep | 
| 19 | vaxxination - employers - sheeple - boycott - nigeria | 52 | 19_vaxxination_employers_sheeple_boycott | 
| 20 | vaccinated - nanoparticle - poison - luciferise - cdna | 51 | 20_vaccinated_nanoparticle_poison_luciferise | 
| 21 | immunisations - guillain - pfizer - strokes - weaponized | 49 | 21_immunisations_guillain_pfizer_strokes | 
| 22 | manifesting - subconscious - therealbrahma09 - awaken - programmed | 48 | 22_manifesting_subconscious_therealbrahma09_awaken | 
| 23 | unvaxxinted - snoop - anonymously - everybody - answers | 48 | 23_unvaxxinted_snoop_anonymously_everybody | 
| 24 | plandemic - covidiots - propaganda - stupid - lukashenko | 45 | 24_plandemic_covidiots_propaganda_stupid | 
| 25 | globe - moon - nasa - earthly - heliocentric | 45 | 25_globe_moon_nasa_earthly | 
| 26 | lockdowns - nhs - influenza - boris - parliamentary | 45 | 26_lockdowns_nhs_influenza_boris | 
| 27 | biden - demoncrat - meth - blackmailing - smeared | 44 | 27_biden_demoncrat_meth_blackmailing | 
| 28 | jab - nanobots - implanted - luciferase - barcoded | 42 | 28_jab_nanobots_implanted_luciferase | 
| 29 | cops - tasered - gunman - brutality - palubinskas | 40 | 29_cops_tasered_gunman_brutality | 
| 30 | vaccinees - antigens - smallpox - cure - prevent | 39 | 30_vaccinees_antigens_smallpox_cure | 
| 31 | unvaccinated - vaers - stillbirths - england - dose | 39 | 31_unvaccinated_vaers_stillbirths_england | 
| 32 | satanists - illuminati - baphomet - paedovores - adrenochome | 38 | 32_satanists_illuminati_baphomet_paedovores | 
| 33 | 5g - towers - saveusnow - antenna - radioactive | 37 | 33_5g_towers_saveusnow_antenna | 
| 34 | petrol - crude - britain - inflation - gallons | 37 | 34_petrol_crude_britain_inflation | 
| 35 | omicron - variants - lambda - fake - anagrams | 36 | 35_omicron_variants_lambda_fake | 
| 36 | moon - apollo - landed - manned - satellites | 35 | 36_moon_apollo_landed_manned | 
| 37 | smartphone - spy - cctv - urlveilance - facetime | 33 | 37_smartphone_spy_cctv_urlveilance | 
| 38 | peadophiles - molester - supremacists - murdering - illegally | 32 | 38_peadophiles_molester_supremacists_murdering | 
| 39 | robotssynthetic - xenobots - terminators - chatbot - dystopian | 30 | 39_robotssynthetic_xenobots_terminators_chatbot | 
| 40 | planes - terrorists - 911 - pentagon - exploded | 29 | 40_planes_terrorists_911_pentagon | 
| 41 | nasas - hebrew - mkultra - deceived - meaning | 27 | 41_nasas_hebrew_mkultra_deceived | 
| 42 | tesla - carmakers - batteries - gasoline - toyoda | 27 | 42_tesla_carmakers_batteries_gasoline | 
| 43 | monarchs - buckingham - mountbatten - holyroodhouse - scandals | 27 | 43_monarchs_buckingham_mountbatten_holyroodhouse | 
| 44 | vaccine - sheeple - poisonous - judah - satanist | 27 | 44_vaccine_sheeple_poisonous_judah | 
| 45 | vaxxinated - booster - shots - shizuok - grandmas | 26 | 45_vaxxinated_booster_shots_shizuok | 
| 46 | trudeau - blockade - stealing - fascist - truckers | 26 | 46_trudeau_blockade_stealing_fascist | 
| 47 | aliens - fake - telekinesis - hologram - projects | 24 | 47_aliens_fake_telekinesis_hologram | 
| 48 | epstein - traffickers - kidnapped - celebrities - prince | 23 | 48_epstein_traffickers_kidnapped_celebrities | 
| 49 | influenza - corona - exterminated - symptoms - mucus | 23 | 49_influenza_corona_exterminated_symptoms | 
| 50 | brainwashed - governments - milgram - obey - mk | 23 | 50_brainwashed_governments_milgram_obey | 
| 51 | vaccine - unjabbed - anybody - joints - suckers | 22 | 51_vaccine_unjabbed_anybody_joints |
  
</details>

## 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
