Sentiment Orientation Classification of Webpage Online Commentary Based on Intuitionistic Fuzzy Reasoning

DOI

10.2991/iccsee.2013.603How to use a DOI?

Keywords

Chinese information process, text categorization, sentiment orientation, intuitionistic fuzzy set

Abstract

An approach of sentiment classification for online comments based on intuitionistic fuzzy reasoning is presented on the basis of the analysis of characteristics of sentiment classification. The approach employs membership function, non-membership function and hesitant function to depict uncertainties of features, quantitatively, by sample training, as well as sentiment expressions influenced by adverbs of degree, conjunctions and negative words are considered. Then the semantic orientation of a text is synthesized on the level of phrases, sentences and texts in sequence by means of aggregations of intuitionistic fuzzy information of features. The presented approach obtains high precision and recall when test using public corpus

Copyright

© 2013, 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  - Xiaofeng Li
AU  - Dong Li
PY  - 2013/03
DA  - 2013/03
TI  - Sentiment Orientation Classification of Webpage Online Commentary Based on Intuitionistic Fuzzy Reasoning
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2409
EP  - 2412
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.603
DO  - 10.2991/iccsee.2013.603
ID  - Li2013/03
ER  -