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

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 422
EP  - 427
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.79
DO  - 10.2991/ammee-17.2017.79
ID  - Fang2017/06
ER  -