Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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

Authors
Li-gong YANG, Bo DENG
Corresponding Author
Li-gong YANG
Available Online March 2013.
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/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.605How to use a DOI?
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/).

Cite this article

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  -