Main Reference Paper Creating Emoji Lexica From Unsupervised sentiment analysis of their descriptions, Expert systems with applications, 2018 [R]
  • This work is proposed a novel approach to predict the sentiments expressed by emojis in online textual messages, such as tweets, that does not require human effort to manually annotate data and saves valuable time for other analysis tasks.

Description
  • This work is proposed a novel approach to predict the sentiments expressed by emojis in online textual messages, such as tweets, that does not require human effort to manually annotate data and saves valuable time for other analysis tasks.

  • The sentiment analysis is performed using emojis.

  • To improve the classification accuracy.

Aim & Objectives
  • The sentiment analysis is performed using emojis.

  • To improve the classification accuracy.

  • This work exploits structural and semantic aspects of text in order to identify important and less important text spans in emoji based sentiment analysis.

Contribution
  • This work exploits structural and semantic aspects of text in order to identify important and less important text spans in emoji based sentiment analysis.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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