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tweets_deforestation_all__RT_exclude_biggerclusters

This is a 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:

from bertopic import BERTopic
topic_model = BERTopic.load("thiagoquilice/tweets_deforestation_all__RT_exclude_biggerclusters")

topic_model.get_topic_info()

Topic overview

  • Number of topics: 13
  • Number of training documents: 389209
Click here for an overview of all topics.
Topic ID Topic Keywords Topic Frequency Label
-1 desmatamento - amazônia - na - de - em 2371 Deforestation in the Amazon
0 que - de - do - desmatamento - amazônia 127251 Deforestation in the Amazon
1 petição - assine - impedir - exploração - via 114185 Protect the Amazon Rainforest
2 soja - de - cerrado - que - da 46552 Soya in the Cerrado region
3 em - de - na - km - desmatamento 33829 Deforestation in the Amazon
4 que - de - não - do - com 17702 Political and environmental issues in Brazil
5 menor - cai - na - desmatamento - amazônia 8855 Deforestation in the Amazon decreases and reaches lower rates in recent years
6 impedir - exploração - petição - via - assine 8611 Protect the Amazon: Sign the Petition
7 cerrado - do - de - desmatamento - no 7695 Deforestation in the Cerrado region
8 - - - - 7163 "Technology trends and their impact on society"
9 petition - sign - the - impedir - exploração 6901 Protect the Amazon Rainforest
10 tamanho - sp - leia - quase - legal 5157 Deforestation in the Amazon
11 in - partners - best - raze - loot 2937 Deforestation and exploitation of indigenous lands

Training hyperparameters

  • calculate_probabilities: False
  • 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: True
  • zeroshot_min_similarity: 0.7
  • zeroshot_topic_list: None

Framework versions

  • Numpy: 1.25.2
  • HDBSCAN: 0.8.33
  • UMAP: 0.5.6
  • Pandas: 2.0.3
  • Scikit-Learn: 1.2.2
  • Sentence-transformers: 2.7.0
  • Transformers: 4.41.0
  • Numba: 0.58.1
  • Plotly: 5.15.0
  • Python: 3.10.12
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