Hierarchical micro-blog sentiment classification based on feature fusion

Hierarchical micro-blog sentiment classification based on feature fusion

Show other versions (1)

Sentiment classification is an important issue of opinion mining.It has a high application value to classify sentiment in micro-blogs.As traditional feature selection method has semantic gap,a neural network language model was used to propose a deep feature representation method based on probability...

Full description

Bibliographic Details
Main Authors: Xianying ZHU, Zhen LIU, Wei JIN, Tingting LIU, Cuijuan LIU, Yanjie CHAI
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-07-01
Series:Dianxin kexue
Subjects:
sentiment classification
word vector
deep feature
eature fusion
hierarchical classification model
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016182/

Internet

http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016182/

Similar Items