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Victor Temas

Modo de uso

Importe a classe VictorThemes, do arquivo victor_temas/victor_themes.py Instancie a classe VictorThemes com os parametros: tfidf, vectorizer e o DataFrame de temas. O método predict recebe um texto não processado e retorna uma lista de resultados sobre o texto para cada tema, cada elemento é uma tupla contendo:

  1. Pertinência não limitada
  2. Similaridade mínima entre o texto de entrada e os textos do tema analisado
  3. Similaridade média entre o texto de entrada e os textos do tema analisado
  4. Similaridade máxima entre o texto de entrada e os textos do tema analisado
  5. A lista de temas sendo analisada
  6. O número de amostras contidas nesse tema.

Os parâmetros opcionais da funcao predict são:

  1. ordenar_por. Domínio:['pertinencia','similaridade'], valor default:'pertinencia'. Define a ordem de ordenacão da lista de saída do método predict. Caso seja 'pertinencia', ordena os elementos por maior

limiar_pert=-10000, limiar_sim=0

Exemplo:

from victor_temas import VictorThemes

vt=VictorThemes(TFIDF_PATH, VEC_PATH,THEMES_PATH)
vt.predict(texto)

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