Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Study of Text Genre Classification and Sentiment Analysis Technology in the Information Age

Authors
Bing Fang, Longyin Du, Sheng Liang, Wei Huang
Corresponding Author
Bing Fang
Available Online June 2017.
DOI
https://doi.org/10.2991/ammee-17.2017.79How to use a DOI?
Keywords
information age; genre classification; emotion analysis; technical research
Abstract
By applying emotion analysis on the n etwork text, enterprises can obtain the user experience and the Government can get public opinion, which is helpful for the two to take corresponding measures. This paper studies the technology of text genre classification first. A corpus needs to be built, so that the article genre can be distinguished according to the difference in sentence structure and vocabulary usage. And then, a research is given to the emotion analysis technology. Through collecting emotion words and establishing thesaurus for the emotion vocabulary, it compares the frequency of emotion words in the analysis object with the thesaurus to analyze its emotion orientation.
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Proceedings
Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/ammee-17.2017.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Bing Fang
AU  - Longyin Du
AU  - Sheng Liang
AU  - Wei Huang
PY  - 2017/06
DA  - 2017/06
TI  - Study of Text Genre Classification and Sentiment Analysis Technology in the Information Age
BT  - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.79
DO  - https://doi.org/10.2991/ammee-17.2017.79
ID  - Fang2017/06
ER  -