Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science

Chinese Micro-blog Sentiment Analysis Based on SVM and Complex Phrasing

Authors
Fuping Yang, Zhiyong Huang
Corresponding Author
Fuping Yang
Available Online December 2015.
DOI
10.2991/icemaess-15.2016.174How to use a DOI?
Keywords
micro-blog, Sentiment analysis, SVM, Naïve Bayes, Complex phrasing
Abstract

Text sentiment analysis technology is a hot topic recently. As a short text, there is a feature of using complex sentences to express the author's true views and complex emotional tendencies in micro-blogs. In current researches on sentiment classification based on machine learning, few of them focus on complex sentences. This paper proposed a sentiment analysis method based on SVM and complex phrasing classifier, and made a full analysis of structural features of Chinese conditional sentences, transition sentences and multiple negative sentences, which were taken as text features. A variety of different combinations of features were chosen, including emotional words, speech, negative words, the degree of adverbs and punctuation, etc., to optimize the results of sentiment analysis through multiple sets of experiments. The experiments show that when we choose the combinations of features of emotional words, part of speech and complex sentence patterns, this method improved the accuracy of sentiment classification compared to the common method.

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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Volume Title
Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2015
ISBN
10.2991/icemaess-15.2016.174
ISSN
2352-5398
DOI
10.2991/icemaess-15.2016.174How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Fuping Yang
AU  - Zhiyong Huang
PY  - 2015/12
DA  - 2015/12
TI  - Chinese Micro-blog Sentiment Analysis Based on SVM and Complex Phrasing
BT  - Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science
PB  - Atlantis Press
SP  - 841
EP  - 846
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-15.2016.174
DO  - 10.2991/icemaess-15.2016.174
ID  - Yang2015/12
ER  -