GhuLDA
Funções simples para pré-processar textos e treinar modelos de tópicos LDA (Latent Dirichlet Allocation), construído sobre spaCy e gensim.
Instalação
pip install GhuLDA
Baixe também o modelo de português do spaCy:
python -m spacy download pt_core_news_lg
O que cada parte faz
| Função / Classe | Para que serve |
|---|---|
Tokenizer |
Tokeniza, lematiza e filtra tokens por classe gramatical (substantivo, verbo, adjetivo, nome próprio). |
add_bigram |
Junta pares de palavras que aparecem juntas com frequência (ex.: aprendizado_maquina). |
create_dictionary |
Cria o dicionário de termos, com filtro opcional de palavras muito raras/frequentes. |
create_corpus |
Converte os documentos em bag-of-words. |
ModelLDA |
Treina o modelo LDA (alpha/eta automáticos por padrão). |
calc_coherence |
Calcula a coerência dos tópicos (c_v, u_mass, etc.). |
Requisitos
- Python 3.10+
gensim,spacy,tqdm(instalados automaticamente)
Licença
MIT — Erick Ghuron
1 maintainer
Metadata
1 maintainer
Release files for GhuLDA 2.0.2
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| ghulda-2.0.2-py3-none-any.whl | Python 3 | none | any | Details for ghulda-2.0.2-py3-none-any.whl |
Total release size: 8.0 kB
Release files / ghulda-2.0.2.tar.gz
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| Size | 3.8 kB |
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