Algorithm Research & Explore
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1618-1622

Cross-grained sentiment analysis oriented to college student microblog

Liu Li
Yue Yawei
School of Software, Shanxi Agricultural University, Taigu Shanxi 030801, China

Abstract

Traditional sentiment analysis of micro-blog often ignore the influence of sentiment words without sentimental color on micro-blog sentiment, and lack of analysis for complex sentence. To solve the problem, this paper proposed a method of cross-grained sentiment analysis based on conditional random filed and complex sentence, which fused complex sentence and semantic dependency features on the basis of CRF. It could identify sentiment elements by analyzing microblog sentiment in fine-grained. It used the method of coarse-grained sentiment analysis based on complex sentence analyze sentimental tendency of student microblog. Finally, the experimental results show that the accuracy on sentiment elements can reach 88%, furthermore, the accuracy of microblog sentimental tendency can reach 87%. Compare to traditional method, the proposed method has higher accuracy and better performance.

Foundation Support

青年科技创新基金资助项目(2017016)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0815
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Algorithm Research & Explore
Pages: 1618-1622
Serial Number: 1001-3695(2019)06-004-1618-05

Publish History

[2019-06-05] Printed Article

Cite This Article

刘丽, 岳亚伟. 面向高校学生微博的跨粒度情感分析 [J]. 计算机应用研究, 2019, 36 (6): 1618-1622. (Liu Li, Yue Yawei. Cross-grained sentiment analysis oriented to college student microblog [J]. Application Research of Computers, 2019, 36 (6): 1618-1622. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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