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Cluster Computing

, Volume 21, Issue 1, pp 985–995 | Cite as

Sentiment analysis of short texts in microblog based on ependency parsing

  • Lirong QiuEmail author
  • Jie Li
Article
  • 159 Downloads

Abstract

Traditional approaches to analyzing short text sentiment rarely consider the relationship between emotional words and modifiers. Most traditional methods simply accumulate the sentiment of the sentence to obtain the sentiment of short text. In this paper, we propose a method to mitigate the problems through sentiment structure and sentiment calculation rules. The sentiment structure is obtained from the dependency parsing process with the relationship migration and modified distance, which makes a solid contribution to analyzing the sentiment of short text. The sentiment of short text is accumulated according to the different influence of relationships between the clauses and the contribution of each sentence to the sentiment calculation of short text. Experiment result indicates the effective of the approach.

Keywords

Sentiment analysis Sentiment structure Sentiment polarity Short text 

Notes

Acknowledgements

This work was supported by the National Nature Science Foundation of China (No. 61672553) and the (Ministry of Education in China) Project of Humanities and Social Sciences (Project No. 16YJCZH076). All above funds did not lead to any conflict of interests regarding the publication of this manuscript.

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.School of Information EngineeringMinzu University of ChinaBeijingChina

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