Determine the Polarity of Domain-specific Sentiment Words with Usage of Semantic Pattern of Sentences

DOI

10.2991/iccsee.2013.605How to use a DOI?

Keywords

Sentiment word, Polarity, Semantic Pattern,Context

Abstract

Text sentiment analysis is a new branch of computational linguistics which is widely concerned. In this paper, we present an approach to determine polarity of sentiment word based on context of sentence. We first change the context of sentence to semantic pattern vector, calculate the between different sentences, then compare sentences context indirectly by comparing similarity of their pattern vector, next we annotate polarity of sentiment word according to comparing result. Experiment shows that when the context of two sentences have high similarity, it is likely to have high precision in recognizing polarity of sentiment word. Our study shows it's feasible to use semantic pattern vector in representing context and judging polarity of sentiment words.

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/).

Download article (PDF)

TY  - CONF
AU  - Li-gong YANG
AU  - Bo DENG
PY  - 2013/03
DA  - 2013/03
TI  - Determine the Polarity of Domain-specific Sentiment Words with Usage of Semantic Pattern of Sentences
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2417
EP  - 2420
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.605
DO  - 10.2991/iccsee.2013.605
ID  - YANG2013/03
ER  -