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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Autors principals:	Shenghan Zhou, Bang Chen, Yue Zhang, HouXiang Liu, Yiyong Xiao, Xing Pan
Format:	Artigo
Idioma:	Inglês
Publicat:	Universidad Internacional de La Rioja (UNIR) 2020-12-01
Col·lecció:	International Journal of Interactive Multimedia and Artificial Intelligence
Matèries:	Feature Extraction Feature Fusion Text Mining Failure Diagnosis
Accés en línia:	https://www.ijimai.org/index.php/ijimai/article/view/724
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