Sentiment Analysis System on Automobile Customer Comments

DOI

10.2991/icmmcce-17.2017.10How to use a DOI?

Keywords

Text Sentiment Analysis; Computer Application; Automotive Field; Customer Comments Analysis.

Abstract

In recent years, the technology of text sentiment analysis develops rapidly and becomes a hot research topic in the field of Natural Language Processing. Now it is applied in increasing number of fields, include e-commerce website, shopping website and so on. In this paper, the application of sentiment analysis in automobile field is studied. Based on that technology, a sentiment analysis system on automobile customer comments is established. Related data are collected from online automobile forums, and then processed. Text sentiment analysis technique is used to extract evaluation objects and evaluative terms, and then analyze emotional tendencies. At the end of evaluation, the system achieves good results.

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  - Zhikai Kang
PY  - 2017/09
DA  - 2017/09
TI  - Sentiment Analysis System on Automobile Customer Comments
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 42
EP  - 46
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.10
DO  - 10.2991/icmmcce-17.2017.10
ID  - Kang2017/09
ER  -