--- tags: - bertopic library_name: bertopic pipeline_tag: text-classification --- # tweets_deforestation_all__RT_exclude_biggerclusters 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/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