Main Reference PaperA pattern-based approach for multi-class sentiment analysis in twitter, IEEE Access, 2017.[Python]
  • The proposed SENTA, a practical tool permits to capture various features from the texts, and tweets to perform the classification. The extracted features based on the context together with the text form to acquire better classification accuracy.

Description
  • The proposed SENTA, a practical tool permits to capture various features from the texts, and tweets to perform the classification. The extracted features based on the context together with the text form to acquire better classification accuracy.

  • To perform Multi-Class classification in twitter for sentiment analysis

  • To attain better accuracy

Aim & Objectives
  • To perform Multi-Class classification in twitter for sentiment analysis

  • To attain better accuracy

  • To develop the tool SENTA for supporting various languages

Contribution
  • To develop the tool SENTA for supporting various languages

  • 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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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