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Research on Sentiment Analysis of Online Public Opinion Based on Semantic

  • Zhengtao JiangEmail author
  • Lu Liu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 849)

Abstract

In this paper, we combine the traditional analysis method based on sentiment dictionary and two kinds of text sentiment based on semantic pattern. We then propose an improved text sentiment analysis technology, including constructing an emotional dictionary, and designing 4 kinds of calculation rules based on dependency syntax and 3 kinds of calculation rules based on complex sentences. Finally, we construct the emotional semantic relation tree to calculate the value of text sentiment. Experimental results show that the accuracy rate, recall rate and F-measure of our method are significantly better than traditional algorithms.

Keywords

Network public opinion Affective tendency analysis Affective lexicon Semantic model The affective tendency value 

Notes

Acknowledgments

This work was financially supported by the National Natural Science Foundation of China (61103199), the Engineering Program Project of CUC (3132015XNG1541, JXJYG1603) and the outstanding young teacher training project of CUC, Natural Science Basic Research Plan in Shaanxi Province of China (No. 2016JM6002) and the National Cryptography Development Fund of China (No. MMJJ20170208).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Computer ScienceCommunication University of ChinaBeijingChina

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