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Automated Estimation of Emotion Analysis On Social Media

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  • Bushra Shaikh1
  • Chaitali Shanbhag2
  • Sheetal K3
  • Unnimaya C4
  • Ayesha Taranum5

Abstract

Social media became popular where in people are willing to share their emotions and opinions or to participate in social networking. Accordingly, the understanding of social media usage became important. The emotion analysis is emerged as one of useful methods to analyze emotional stats expressed in textual data including social media data. However, this method still presents some limitations, particularly with based on accuracy, lexicon and aspect. To overcome and improve this weakness, we propose an automated estimation of emotion analysis in this paper by using the morphological sentence pattern model. Emotion analysis is the process of determining whether a opinion of writing is positive or negative.

Suggested Citation

  • Bushra Shaikh1 & Chaitali Shanbhag2 & Sheetal K3 & Unnimaya C4 & Ayesha Taranum5, 2018. "Automated Estimation of Emotion Analysis On Social Media," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 532-537, May.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit184699
    Note: Article URL: https://ijsrcseit.com/CSEIT184699
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