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

# MARTINI_enrich_BERTopic_insider_amigo

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_insider_amigo")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 39
* Number of training documents: 3523

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | globalists - lukashenko - satanists - pandemic - biden | 20 | -1_globalists_lukashenko_satanists_pandemic | 
| 0 | france - riots - sorbonne - antifa - zemmour | 1781 | 0_france_riots_sorbonne_antifa | 
| 1 | biden - deficits - yellen - msnbc - cpi | 128 | 1_biden_deficits_yellen_msnbc | 
| 2 | wildfires - casualties - evacuated - explosion - california | 108 | 2_wildfires_casualties_evacuated_explosion | 
| 3 | riots - netherlands - pogroms - spain - vuelta | 95 | 3_riots_netherlands_pogroms_spain | 
| 4 | pfizer - vaccinated - vaers - ivermectin - myocarditis | 87 | 4_pfizer_vaccinated_vaers_ivermectin | 
| 5 | globalists - pandemic - antichrist - destruction - 2021 | 85 | 5_globalists_pandemic_antichrist_destruction | 
| 6 | australia - queensland - quarantine - protesting - bans | 82 | 6_australia_queensland_quarantine_protesting | 
| 7 | karine - doj - documents - unclassified - garage | 76 | 7_karine_doj_documents_unclassified | 
| 8 | trump - maquoketa - speaking - soleimani - patriots | 69 | 8_trump_maquoketa_speaking_soleimani | 
| 9 | unvaccinated - airlines - united - employers - mandated | 58 | 9_unvaccinated_airlines_united_employers | 
| 10 | russia - blinken - zelenskyy - warheads - allies | 58 | 10_russia_blinken_zelenskyy_warheads | 
| 11 | trudeau - impounding - truckers - protesters - alberta | 55 | 11_trudeau_impounding_truckers_protesters | 
| 12 | illuminati - satanic - vatican - freemasons - rockefeller | 53 | 12_illuminati_satanic_vatican_freemasons | 
| 13 | illegals - biden - border - militias - states | 51 | 13_illegals_biden_border_militias | 
| 14 | twitter - musk - advertisers - subscription - monetizable | 49 | 14_twitter_musk_advertisers_subscription | 
| 15 | davos - attendees - rectenwald - totalitarian - walletmor | 42 | 15_davos_attendees_rectenwald_totalitarian | 
| 16 | donetsk - russia - kakhovka - shoigu - pushkinskaya | 41 | 16_donetsk_russia_kakhovka_shoigu | 
| 17 | killed - gunman - stabbing - uvalde - teacher | 40 | 17_killed_gunman_stabbing_uvalde | 
| 18 | colombia - argentinians - president - protesters - nuevo | 38 | 18_colombia_argentinians_president_protesters | 
| 19 | genoa - trento - cagliari - greenpass - covid | 36 | 19_genoa_trento_cagliari_greenpass | 
| 20 | desantis - floridians - governors - secession - successor | 36 | 20_desantis_floridians_governors_secession | 
| 21 | fbi - biden - whistleblowers - indictment - stenographer | 35 | 21_fbi_biden_whistleblowers_indictment | 
| 22 | wuhan - lockdown - protests - shenzhen - yunnan | 31 | 22_wuhan_lockdown_protests_shenzhen | 
| 23 | hamas - gaza - missile - civilians - naftali | 31 | 23_hamas_gaza_missile_civilians | 
| 24 | trudeau - traitor - liberals - narcissist - dictatorship | 29 | 24_trudeau_traitor_liberals_narcissist | 
| 25 | trump - indicted - subpoenas - treason - supreme | 29 | 25_trump_indicted_subpoenas_treason | 
| 26 | kabul - benghazi - pentagon - americans - evacuate | 28 | 26_kabul_benghazi_pentagon_americans | 
| 27 | cpr - died - coulibaly - footballer - prince | 28 | 27_cpr_died_coulibaly_footballer | 
| 28 | bolsonaro - brazillians - paulo - neymar - prisoners | 25 | 28_bolsonaro_brazillians_paulo_neymar | 
| 29 | scholz - electricity - britain - green - unaffordable | 25 | 29_scholz_electricity_britain_green | 
| 30 | germany - berlin - thuringen - protests - nordrhein | 24 | 30_germany_berlin_thuringen_protests | 
| 31 | exposefauci - aids - rubenstein - mask - asymptomatic | 24 | 31_exposefauci_aids_rubenstein_mask | 
| 32 | hamas - israeli - benjamin - hostages - annihilated | 22 | 32_hamas_israeli_benjamin_hostages | 
| 33 | uniting - reposts - telegram - hi - scammers | 21 | 33_uniting_reposts_telegram_hi | 
| 34 | draghi - italy - giuseppe - salerno - catania | 21 | 34_draghi_italy_giuseppe_salerno | 
| 35 | austria - unvaccinated - protesters - enforcing - nazi | 21 | 35_austria_unvaccinated_protesters_enforcing | 
| 36 | zuckerberg - whatsapp - icloud - platforms - cyberbullying | 21 | 36_zuckerberg_whatsapp_icloud_platforms | 
| 37 | jintao - president - saudi - maduro - vietnam | 20 | 37_jintao_president_saudi_maduro |
  
</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
