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A Feature Extraction Method Based on Feature Fusion and its Application in the Text-Driven Failure Diagnosis Field.

As a basic task in NLP (Natural Language Processing), feature extraction directly determines the quality of text clustering and text classification. However, the commonly used TF-IDF (Term Frequency & Inverse Document Frequency) and LDA (Latent Dirichlet Allocation) text feature extraction methods...

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Principais autores: Shenghan Zhou, Bang Chen, Yue Zhang, HouXiang Liu, Yiyong Xiao, Xing Pan
Formato: Artigo
Idioma:Inglês
Publicado em: Universidad Internacional de La Rioja (UNIR) 2020-12-01
coleção:International Journal of Interactive Multimedia and Artificial Intelligence
Assuntos:
Feature Extraction
Feature Fusion
Text Mining
Failure Diagnosis
Acesso em linha:https://www.ijimai.org/index.php/ijimai/article/view/724
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