WCSE 2017
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.109

Measuring Interrogative and Negative Opinion Expression in Social Media Sentences

Qiang Gu, Xuejun Yu, Ye Li, Yiqun Zhu, Guorui Cao, Bo Wang

Abstract— Measuring of interrogative and negative expression in social media sentences is a task to judge users’ opinion about objects. With the emerging of big data, it becomes difficult to obtain accurate opinion judgement with low cost. To solve this problem, we present a method synthetizing linguistic rules and statistical learning. Both single-word and multi-word patterns are used in rules and machine learning process. The synsthized method succeed the rule-based and statistical method independetaly in a real task on large scale microblog corpus.

Index Terms— Opinion measuring, Interrogative expression, Negative expression, Social media.

Qiang Gu, Xuejun Yu, Ye Li, Yiqun Zhu, Guorui Cao
State Grid Tianjin Electric Power Research Institute, CHINA
Bo Wang
Tianjin University, CHINA

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Cite: Qiang Gu, Xuejun Yu, Ye Li, Yiqun Zhu, Guorui Cao, Bo Wang, "Measuring Interrogative and Negative Opinion Expression in Social Media Sentences," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 627-631, Beijing, 25-27 June, 2017.