A Method of Short Text Representation Based on the Feature Probability Embedded Vector

Text representation is one of the key tasks in the field of natural language processing (NLP). Traditional feature extraction and weighting methods often use the bag-of-words (BoW) model, which may lead to a lack of semantic information as well as the problems of high dimensionality and high sparsit...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Wanting Zhou, Hanbin Wang, Hongguang Sun, Tieli Sun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2019-08-01
coleção:	Sensors
Assuntos:	word embedding latent Dirichlet allocation feature weighting text representation
Acesso em linha:	https://www.mdpi.com/1424-8220/19/17/3728
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!