Study on Fine-Grained View Mining based on Network Subjective Text

DOI

10.2991/ssehr-16.2016.295How to use a DOI?

Keywords

Fine-Grained View Mining, Network Subjective Text, Network

Abstract

With the rapid development of e-commerce and social media, Internet users can express their own subjective comments for commodities including online news current affairs, public figures and personal experience, including a variety of subjects and objects. Such information includes user reviews of subjective personal subjective opinions, emotions, attitudes and opinions and the like. With the participation of users continues to increase, with Web as a medium of subjective comment text information in soaring. Faced with a flood of Web comment text, how specific information needs for effective user subjective opinion mining and analysis, which reviews Web text mining observations, increasingly become a hotspot intelligent information processing, data mining and computational linguistics and other fields . Web Comments Text opinion mining technology has important theoretical and practical value, it can be widely used in information retrieval, business intelligence, social public opinion analysis.

Copyright

© 2016, 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  - Liping Wang
AU  - Yanling Liu
PY  - 2016/07
DA  - 2016/07
TI  - Study on Fine-Grained View Mining based on Network Subjective Text
BT  - Proceedings of 2016 5th International Conference on Social Science, Education and Humanities Research
PB  - Atlantis Press
SP  - 1384
EP  - 1387
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssehr-16.2016.295
DO  - 10.2991/ssehr-16.2016.295
ID  - Wang2016/07
ER  -