Application of Sentiment Analysis in the Research of Social Media Effects: A Study of Weibo Emotion Analysis based on Class Sequential Rules

WANG Wei WEN Shiyang

Chinese Journal of Journalism & Communication ›› 2017, Vol. 39 ›› Issue (4) : 63-75.

PDF(2238 KB)
PDF(2238 KB)
Chinese Journal of Journalism & Communication ›› 2017, Vol. 39 ›› Issue (4) : 63-75.

Application of Sentiment Analysis in the Research of Social Media Effects: A Study of Weibo Emotion Analysis based on Class Sequential Rules

  • Wang Wei is a lecturer in the School of Journalism and Communication & Film and Television Arts at Hunan University. She is a Ph.D. candidate in the School of New Media at Peking University. Email: wwang@hnu.edu.cn. Wen Shiyang is a postgraduate student at the Institute of Computer Science & Technology of Peking University. Email: wenshiyang@pku.edu.cn.
Author information +
History +

Abstract

This paper applies sentiment analysis to the research of social media effects. We first clarify and define two basic concepts: sentiment analysis and emotion analysis, and then use a case study from Sina Weibo to test emotion analysis based on class sequential rules. This research provides a useful reference for the interdisciplinary approach of social media effects research.

Key words

social media effects research / microblog texts / sentiment analysis / emotion analysis / class sequential rules

Cite this article

Download Citations
WANG Wei WEN Shiyang. Application of Sentiment Analysis in the Research of Social Media Effects: A Study of Weibo Emotion Analysis based on Class Sequential Rules[J]. Chinese Journal of Journalism & Communication. 2017, 39(4): 63-75

References

 

Funding

This paper is supported by the Social Media Impact Measurement Grant from Bill & Melinda Gates Foundation.
PDF(2238 KB)

Accesses

Citation

Detail

Sections
Recommended

/