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

# reduced_tweets_deforestation_pt

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("thiagoquilice/reduced_tweets_deforestation_pt")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 30
* Number of training documents: 1444120

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | desmatamento - amaz - nia - de - na | 161 | Deforestation in Brazil's Amazon region | 
| 0 | desmatamento - amaz - nia - rt - da | 454142 | Preventing deforestation in the Amazon | 
| 1 | por - bolsonaro - rt - do - governo | 745274 | Political satire and criticism of current events in Brazil | 
| 2 | dasypodidae - encontrados - familia - costumam - tio | 161094 | Dasypodidae family found in Brazil | 
| 3 | noruega - alemanha - nevoa - retiraram - visto | 22453 | Government policies and rural issues in Brazil | 
| 4 | de - do - rt - inpe - que | 15610 | Dasypodidae family found in Brazil | 
| 5 | artesanais - abdicam - manguezal - pescadores - julga | 8545 | Environmental disaster in Brazil | 
| 6 | sat - lite - lan - ado - primeiro | 8258 | Soja production in Roraima | 
| 7 | trilh - administram - fundos - imposs - ativos | 4441 | Protection of the Amazon rainforest | 
| 8 | deixara - bolsonazi - eleito - entrega - resumiu | 3081 | Controversial speech or article | 
| 9 | apres - holanda - ratifica - rejeitar - rcio | 2999 | Economic rankings of Brazil | 
| 10 | psicose - subtitles - bertrand - livro - respondendo | 2724 | Demittance of CNPQ president due to research incentive request | 
| 11 | venda - herdeira - seguinte - ha - pararam | 1855 | Preventing Deforestation in the Amazon | 
| 12 | controlador - blackstone - ceo - schwarzman - steve | 1790 | Stop Deforestation in the Amazon | 
| 13 | veneza - look - festival - paz - impactante | 1583 | Economic impacts of deforestation | 
| 14 | feminismo - machismo - stica - dom - viol | 1300 | German President Merkel suspends investments in Amazon due to record deforestation | 
| 15 | ningu - fala - isso - mais - por | 1209 | Apocalypse and Ferrous Metals | 
| 16 | formando - auxiliar - israel - parceria - objetivo | 1099 | Electoral desmatamento in the Amazon | 
| 17 | perfume - ingrediente - chanel - vendido - possui | 979 | Cientista Carlos Nobre na Empresa: Supera Inpe | 
| 18 | desempregados - comemoravam - motobois - infla - milh | 858 | Debate over deforestation data | 
| 19 | finalizei - acompan - infantaria - brigada - velho | 674 | Agronomic aspects of soybean plant roots | 
| 20 | ndic - kataguiri - kim - resolvi - desconhece | 643 | Deforestation in Brazil | 
| 21 | festa - ulmanos - desejou - bezerros - sacrif | 631 | Financing for environmental projects in Norway and Germany | 
| 22 | cristina - tereza - garante - fundi - regulariza | 561 | Bolsonaro's stance on Amazon deforestation | 
| 23 | comandados - incapazes - mostraram - receberam - jato | 418 | Illegal deforestation and burning in the Amazon | 
| 24 | rcito - ex - higiene - bairros - populares | 415 | Roman weather in May | 
| 25 | prontos - quadros - pms - complementar - bons | 372 | Deforestation in the Amazon in July | 
| 26 | financiados - desvios - criados - empregos - den | 350 | Impact of veganism on the Amazon rainforest | 
| 27 | certif - trading - globais - clientes - chinesa | 327 | Deforestation monitoring using km and quadrados | 
| 28 | sequestro - coopera - resgate - isso - pedido | 274 | Deforestation in the Amazon |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: None
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: 30
* seed_topic_list: None
* top_n_words: 10
* verbose: True
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 1.25.2
* HDBSCAN: 0.8.33
* UMAP: 0.5.5
* Pandas: 1.5.3
* Scikit-Learn: 1.2.2
* Sentence-transformers: 2.6.1
* Transformers: 4.38.2
* Numba: 0.58.1
* Plotly: 5.15.0
* Python: 3.10.12