README.md

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

# MARTINI_enrich_BERTopic_node_of_time_en

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_node_of_time_en")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 58
* Number of training documents: 6346

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | zelensky - russians - kherson - sanctions - missiles | 20 | -1_zelensky_russians_kherson_sanctions | 
| 0 | taiwan - pyongyang - beijing - mao - geopolitical | 3255 | 0_taiwan_pyongyang_beijing_mao | 
| 1 | tbilisi - homosexuality - uganda - pope - parade | 168 | 1_tbilisi_homosexuality_uganda_pope | 
| 2 | hamas - gaza - israelis - hezbollah - airstrikes | 167 | 2_hamas_gaza_israelis_hezbollah | 
| 3 | gabon - niamey - algeria - overthrow - gaddafi | 165 | 3_gabon_niamey_algeria_overthrow | 
| 4 | hungary - juncker - slovak - european - sanctions | 128 | 4_hungary_juncker_slovak_european | 
| 5 | nato - stoltenberg - baltics - kaliningrad - kosovars | 116 | 5_nato_stoltenberg_baltics_kaliningrad | 
| 6 | nazis - zelenska - russians - suvorov - swastika | 111 | 6_nazis_zelenska_russians_suvorov | 
| 7 | poland - kaczynski - ukrainianisation - zbigniew - zloty | 107 | 7_poland_kaczynski_ukrainianisation_zbigniew | 
| 8 | bundeswehr - rheinmetall - panzer - merkava - veto | 104 | 8_bundeswehr_rheinmetall_panzer_merkava | 
| 9 | zelensky - volodymyr - oligarchs - scandal - oscar | 84 | 9_zelensky_volodymyr_oligarchs_scandal | 
| 10 | grain - bulgaria - wto - maersk - cavusoglu | 82 | 10_grain_bulgaria_wto_maersk | 
| 11 | scholz - putin - russischen - zeitung - moldova | 76 | 11_scholz_putin_russischen_zeitung | 
| 12 | mercenaries - severodonetsk - killed - kapuscinski - navy | 69 | 12_mercenaries_severodonetsk_killed_kapuscinski | 
| 13 | putin - lugansk - россии - mobilization - motherland | 57 | 13_putin_lugansk_россии_mobilization | 
| 14 | hamas - protests - pogroms - kristallnacht - denmark | 56 | 14_hamas_protests_pogroms_kristallnacht | 
| 15 | bundestag - nsdap - saxony - scholz - wagenknecht | 54 | 15_bundestag_nsdap_saxony_scholz | 
| 16 | riots - nantes - zemmour - macron - burgerkriegs | 54 | 16_riots_nantes_zemmour_macron | 
| 17 | volunteers - subscribe - putinists - subtitling - volkov | 52 | 17_volunteers_subscribe_putinists_subtitling | 
| 18 | донбасс - петровскии - памятника - kuybyshevsky - ekaterina | 52 | 18_донбасс_петровскии_памятника_kuybyshevsky | 
| 19 | ukrainians - casualties - artemovsk - brigade - servicemen | 52 | 19_ukrainians_casualties_artemovsk_brigade | 
| 20 | donetsk - counterattacks - karmazynivka - highlights - july | 52 | 20_donetsk_counterattacks_karmazynivka_highlights | 
| 21 | pfizer - unvaccinated - ivermectin - injected - lockdowns | 50 | 21_pfizer_unvaccinated_ivermectin_injected | 
| 22 | ukrainehumanrightsabuses - conscripted - prisoners - azovstal - sergeevich | 50 | 22_ukrainehumanrightsabuses_conscripted_prisoners_azovstal | 
| 23 | biden - impeachment - giuliani - bribes - mccarthy | 49 | 23_biden_impeachment_giuliani_bribes | 
| 24 | munitions - missiles - pentagon - supplies - billion | 48 | 24_munitions_missiles_pentagon_supplies | 
| 25 | crimea - peace - chomsky - negotiated - counteroffensive | 46 | 25_crimea_peace_chomsky_negotiated | 
| 26 | kakhovka - dnieper - ukrenergo - hydropower - blackout | 45 | 26_kakhovka_dnieper_ukrenergo_hydropower | 
| 27 | ukrainians - refugees - poland - slovak - eurostat | 44 | 27_ukrainians_refugees_poland_slovak | 
| 28 | zaporizhzhia - chernobyl - radioactive - npp - novosti | 43 | 28_zaporizhzhia_chernobyl_radioactive_npp | 
| 29 | kremlin - zelenskiy - volodymyr - kherson - updates | 43 | 29_kremlin_zelenskiy_volodymyr_kherson | 
| 30 | nordstream - sweden - sabotage - explosions - terrorist | 43 | 30_nordstream_sweden_sabotage_explosions | 
| 31 | pravoslavie - sviatohirsk - chernivtsi - persecution - hieromonk | 42 | 31_pravoslavie_sviatohirsk_chernivtsi_persecution | 
| 32 | germany - protests - hannover - nagorno - bundeskanzleramt | 41 | 32_germany_protests_hannover_nagorno | 
| 33 | brics - nigeria - bangladesh - arabia - mnangagwa | 40 | 33_brics_nigeria_bangladesh_arabia | 
| 34 | globalists - interglacial - co2 - twitterigtruth - klaus | 40 | 34_globalists_interglacial_co2_twitterigtruth | 
| 35 | germany - gdp - recession - eurozone - 2023 | 37 | 35_germany_gdp_recession_eurozone | 
| 36 | prigozhin - lukashenko - yevkurov - propagandists - gunship | 36 | 36_prigozhin_lukashenko_yevkurov_propagandists | 
| 37 | congressmen - 24bn - spending - pentagon - israel | 36 | 37_congressmen_24bn_spending_pentagon | 
| 38 | crude - sanctions - bloomberg - tankers - ulyanov | 36 | 38_crude_sanctions_bloomberg_tankers | 
| 39 | conscription - verkhovna - chmelnyzkyj - commissars - marching | 35 | 39_conscription_verkhovna_chmelnyzkyj_commissars | 
| 40 | donetsk - battles - paratroopers - april - shebekinsky | 35 | 40_donetsk_battles_paratroopers_april | 
| 41 | nusra - aleppo - airstrikes - afghanistan - milley | 33 | 41_nusra_aleppo_airstrikes_afghanistan | 
| 42 | nato - finland - erdogan - ratification - join | 32 | 42_nato_finland_erdogan_ratification | 
| 43 | wikileaks - espionage - agencies - langley - naryshkin | 32 | 43_wikileaks_espionage_agencies_langley | 
| 44 | eurofighter - kampfflugzeuge - zelenski - gripen - slovakia | 32 | 44_eurofighter_kampfflugzeuge_zelenski_gripen | 
| 45 | missiles - kremenchug - slaviansk - casualties - airbase | 29 | 45_missiles_kremenchug_slaviansk_casualties | 
| 46 | submunitions - cambodia - thermobaric - clusters - explode | 29 | 46_submunitions_cambodia_thermobaric_clusters | 
| 47 | dollarization - yuan - brics - sanctions - bashar | 29 | 47_dollarization_yuan_brics_sanctions | 
| 48 | westphalia - renewable - siemens - heaters - 190bn | 28 | 48_westphalia_renewable_siemens_heaters | 
| 49 | sanctions - eu - blacklist - prohibit - belarusian | 25 | 49_sanctions_eu_blacklist_prohibit | 
| 50 | novorossiya - pereyaslav - podoljak - passportizing - criminalise | 25 | 50_novorossiya_pereyaslav_podoljak_passportizing | 
| 51 | smuggled - howitzers - marchenko - terrorists - promoboronexport | 24 | 51_smuggled_howitzers_marchenko_terrorists | 
| 52 | uranium - khmelnitsky - munitions - depleted - fallujah | 22 | 52_uranium_khmelnitsky_munitions_depleted | 
| 53 | bundestag - schuldenbremse - wirtschaftswoche - spendings - 17bn | 22 | 53_bundestag_schuldenbremse_wirtschaftswoche_spendings | 
| 54 | transnistria - moldovatransgaz - chisinau - moldovan - romanianization | 22 | 54_transnistria_moldovatransgaz_chisinau_moldovan | 
| 55 | bryansk - novotroitsk - terrorists - golovanov - fsb | 21 | 55_bryansk_novotroitsk_terrorists_golovanov | 
| 56 | gazprom - euros - diesel - exports - ammonia | 21 | 56_gazprom_euros_diesel_exports |
  
</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