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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