Add BERTopic model
Browse files- README.md +103 -0
- config.json +15 -0
- ctfidf.bin +3 -0
- ctfidf_config.json +0 -0
- topic_embeddings.bin +3 -0
- topics.json +0 -0
README.md
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---
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tags:
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- bertopic
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library_name: bertopic
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pipeline_tag: text-classification
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---
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# topic_immigration_it
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
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## Usage
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To use this model, please install BERTopic:
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```
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pip install -U bertopic
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```
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You can use the model as follows:
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```python
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from bertopic import BERTopic
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topic_model = BERTopic.load("brema76/topic_immigration_it")
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topic_model.get_topic_info()
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```
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## Topic overview
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* Number of topics: 36
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* Number of training documents: 159408
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<details>
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<summary>Click here for an overview of all topics.</summary>
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| Topic ID | Topic Keywords | Topic Frequency | Label |
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|----------|----------------|-----------------|-------|
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| 0 | salvini - immigrato - ong - straniero - mare | 77801 | Crime |
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| 1 | italia - sicilia - italiano - meloni - aquarius | 27045 | Reception |
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| 2 | libia - libico - seawatch - tunisia - tunisino | 18643 | Sea rescue |
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| 3 | ucraino - trump - profugo - polonia - russia | 10779 | Border crisis |
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| 4 | sardegna - video - lampedusa - notte - algerino | 3478 | Landings |
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| 5 | papa - chiesa - francesco - vescovo - papafrancesco | 3395 | The Church's view |
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| 6 | coronavirus - positivo - virus - ospedale - contagio | 2308 | Coronavirus and its spread |
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| 7 | hotspot - protestare - collasso - centro - lampedusa | 2298 | First reception centers |
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| 8 | camion - arrestato - scafista - arresto - furgone | 1624 | Illegal immigration |
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| 9 | incendio - baobab - tendopoli - moria - fiamma | 1046 | Shanty towns |
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| 10 | reddito - pensione - cittadinanza - euro - investimento | 1028 | Economy |
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| 11 | afghanistan - afgano - talebani - kabul - profugo | 1011 | Humanitarian corridors for refugees |
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| 12 | turismo - turista - vacanza - estate - presenza | 798 | Tourism and vacations |
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| 13 | incinta - bambino - donna - neonato - bimbo | 776 | Pregnancy, parenthood, and children |
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| 14 | scuola - università - studente - tutore - lingua | 651 | Education and School-related themes |
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| 15 | vaccino - vaccinato - vaccinale - vaccinare - covid | 650 | Vaccinations and EU digital Covid certificate |
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| 16 | musumeci - ordinanza - islam - islamico - musulmano | 621 | Islam |
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| 17 | alarmphone - egeo - naufragio - bambino - pericolo | 552 | Shipwrecks |
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| 18 | stupro - sessuale - stuprato - violenza - stuprare | 519 | Sexual violence |
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| 19 | multa - ong - decreto - amp - erostraniero | 517 | NGOs regulation |
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| 20 | razzismo - razzista - odio - razziale - insulto | 422 | Racism and Hatred |
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| 21 | agricoltura - schiavo - schiavitù - agricolo - schiavismo | 409 | Illegal work and exploitation |
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| 22 | tubercoloso - malattia - tbc - salute - pandemia | 361 | Disease transmission |
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| 23 | africa - africano - mission - continente - sviluppo | 353 | Cooperation and Development in Africa |
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| 24 | asilo - giudice - richiedente - tribunale - ricorso | 350 | Right to asylum |
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| 25 | dublino - regolamento - riforma - trattato - superare | 310 | EU regulation |
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| 26 | fake - propaganda - fakenews - news - sapevatelo | 285 | Spread of fake news |
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| 27 | droga - cocaina - hashish - eroina - marijuana | 266 | Drugs and Drug Dealing |
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| 28 | film - miglior - oscar - sorrentino - dogman | 263 | Movies |
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| 29 | gay - lgbt - omosessuale - cassazione - lgbti | 149 | LGBTQ+ and sexual minorities' rights |
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| 30 | qatar - qatargate - panzeri - fifa - mondiale | 129 | Quatargate |
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| 31 | perugia - università - suarez - rettore - universitàstranieri | 127 | Luis Suarez's Italian exam scam |
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| 32 | brexit - regno - unito - inglese - qualificato | 120 | Brexit |
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| 33 | basket - calcio - campionato - squadra - giocatore | 117 | Sports |
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| 34 | profugo - volontario - gualzetti - sottoscrizione - accoglienza | 107 | Donations |
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| 35 | matrimonio - combinato - finto - nozze - fittizio | 100 | Marriages and Fake Unions |
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</details>
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## Training hyperparameters
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* calculate_probabilities: True
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* language: None
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* low_memory: False
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* min_topic_size: 200
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* n_gram_range: (1, 1)
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* nr_topics: auto
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* seed_topic_list: None
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* top_n_words: 15
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* verbose: True
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## Framework versions
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* Numpy: 1.23.5
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* HDBSCAN: 0.8.33
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* UMAP: 0.5.3
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* Pandas: 2.0.3
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* Scikit-Learn: 1.3.0
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* Sentence-transformers: 2.2.2
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* Transformers: 4.33.1
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* Numba: 0.56.4
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* Plotly: 5.16.1
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* Python: 3.10.11
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config.json
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{
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"calculate_probabilities": true,
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"language": null,
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"low_memory": false,
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"min_topic_size": 200,
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"n_gram_range": [
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],
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"nr_topics": "auto",
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"seed_topic_list": null,
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"top_n_words": 15,
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"verbose": true,
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"embedding_model": "sentence-transformers/paraphrase-multilingual-mpnet-base-v2"
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}
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ctfidf.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa944da93b10f12aca048bdb7d4dd01097a859be1aca8a96ebde4a94e83384cb
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size 1410004
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ctfidf_config.json
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topic_embeddings.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0237d20acc35cc866fba7a782aa142bbaca990bb8a349a745ff8bedf6881d525
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size 111430
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topics.json
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