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

# MARTINI_enrich_BERTopic_Middle_East_Spectator

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_Middle_East_Spectator")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 34
* Number of training documents: 3345

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | hezbollah - khamenei - gaza - jerusalem - missiles | 20 | -1_hezbollah_khamenei_gaza_jerusalem | 
| 0 | iraqi - assad - airstrikes - faction - ismael | 1543 | 0_iraqi_assad_airstrikes_faction | 
| 1 | palestine - nasrallah - jihad - martyrs - victory | 194 | 1_palestine_nasrallah_jihad_martyrs | 
| 2 | channel - news - subscribers - censored - unbiased | 166 | 2_channel_news_subscribers_censored | 
| 3 | gaza - israelis - egyptians - suez - libyan | 126 | 3_gaza_israelis_egyptians_suez | 
| 4 | netanyahu - hezbollah - galilee - yoav - threatens | 103 | 4_netanyahu_hezbollah_galilee_yoav | 
| 5 | karabakh - nakhchivan - azerbaijani - armenians - yerevan | 98 | 5_karabakh_nakhchivan_azerbaijani_armenians | 
| 6 | yemen - warship - missiles - maersk - gulf | 92 | 6_yemen_warship_missiles_maersk | 
| 7 | saudi - khamenei - bahrain - faisal - zayed | 86 | 7_saudi_khamenei_bahrain_faisal | 
| 8 | gaza - civilians - bombed - younis - tunnels | 83 | 8_gaza_civilians_bombed_younis | 
| 9 | iran - abdollahian - ambassador - doha - sanctioned | 74 | 9_iran_abdollahian_ambassador_doha | 
| 10 | missiles - iran - hypersonic - baikonur - launched | 69 | 10_missiles_iran_hypersonic_baikonur | 
| 11 | kadyrov - voronezh - gerasimov - regiment - massacre | 54 | 11_kadyrov_voronezh_gerasimov_regiment | 
| 12 | hezbollah - drone - haifa - launched - zabdin | 47 | 12_hezbollah_drone_haifa_launched | 
| 13 | soleimani - mousavi - terrorists - damascus - martyred | 44 | 13_soleimani_mousavi_terrorists_damascus | 
| 14 | iranians - hamedan - allahu - كير - الاحرار | 43 | 14_iranians_hamedan_allahu_كير | 
| 15 | hezbollah - khirbet - ramyeh - ambush - sites | 41 | 15_hezbollah_khirbet_ramyeh_ambush | 
| 16 | sukhoi - drone - turbojet - squadrons - tatarstan | 35 | 16_sukhoi_drone_turbojet_squadrons | 
| 17 | belgorod - zaporizhia - volodymyr - sevastopol - reinforcements | 33 | 17_belgorod_zaporizhia_volodymyr_sevastopol | 
| 18 | hezbollah - mujahid - hassan - haidar - martyrs | 31 | 18_hezbollah_mujahid_hassan_haidar | 
| 19 | gaza - airstrikes - ashkelon - merkava - update | 31 | 19_gaza_airstrikes_ashkelon_merkava | 
| 20 | biden - netanyahu - cnn - ayatollahs - interviewed | 31 | 20_biden_netanyahu_cnn_ayatollahs | 
| 21 | jew - אילן - kanye - musk - goddamn | 28 | 21_jew_אילן_kanye_musk | 
| 22 | khuzestan - khorramabad - taliban - armored - irgc | 28 | 22_khuzestan_khorramabad_taliban_armored | 
| 23 | intifada - qassam - hamza - spokesman - obeida | 28 | 23_intifada_qassam_hamza_spokesman | 
| 24 | iran - balochistan - terrorists - chabahar - mashhad | 27 | 24_iran_balochistan_terrorists_chabahar | 
| 25 | iran - nuclear - cnn - retaliate - notified | 26 | 25_iran_nuclear_cnn_retaliate | 
| 26 | hezbollah - katyusha - missiles - barrage - baalbek | 26 | 26_hezbollah_katyusha_missiles_barrage | 
| 27 | donald - democrats - newsom - ballot - dumbest | 25 | 27_donald_democrats_newsom_ballot | 
| 28 | lebanon - gunfire - outposts - idf - tanks | 24 | 28_lebanon_gunfire_outposts_idf | 
| 29 | russia - attackers - bryansk - kiev - terrorist | 24 | 29_russia_attackers_bryansk_kiev | 
| 30 | hormuz - tankers - strait - submarine - seized | 23 | 30_hormuz_tankers_strait_submarine | 
| 31 | gaza - donate - inshaallah - subscribers - delivered | 21 | 31_gaza_donate_inshaallah_subscribers | 
| 32 | palestinian - ashkelon - gunfights - infiltrators - rohovot | 21 | 32_palestinian_ashkelon_gunfights_infiltrators |
  
</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