The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews

DOI

10.2991/icsnce-18.2018.30How to use a DOI?

Keywords

CRF; Extract Theme Words; Extract Sentiment Words; Sentiment Analysis

Abstract

Sentiment analysis, also known as opinion mining, refers to the emotional tendencies expressed by the critics through the analysis of the content of the text. The task of text sentiment analysis mainly includes the classification of sentiment, the extraction of sentiment information and the retrieval and induction of sentiment information. Based on CRF, this paper will extract several pairs of theme words and sentiment words exist in the e-commerce review, and judge the sentiment inclination of the extracted sentiment words. The experimental results show that CRF has a good effect on the extraction of emotional information.

Copyright

© 2018, 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  - Li Danyang
AU  - Fan Huimin
AU  - Zhao Yingze
PY  - 2018/04
DA  - 2018/04
TI  - The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews
BT  - Proceedings of the 2018 Second International Conference of Sensor Network and Computer Engineering (ICSNCE 2018)
PB  - Atlantis Press
SP  - 148
EP  - 152
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsnce-18.2018.30
DO  - 10.2991/icsnce-18.2018.30
ID  - Danyang2018/04
ER  -