Main Reference PaperAutomatic sentiment analysis of Twitter messages, Fourth International Conference on Computational Aspects of Social Networks (CASoN), IEEE, 2012.
  • This paper proposes an automatic sentiment classifier for Twitter messages, and uses TV shows from Brazilian stations for benchmarking. The automatic sentiment analysis reduces human intervention and, thus, the complexity and cost of the whole process.

+ Description
  • This paper proposes an automatic sentiment classifier for Twitter messages, and uses TV shows from Brazilian stations for benchmarking. The automatic sentiment analysis reduces human intervention and, thus, the complexity and cost of the whole process.

  • To provide sentiment analysis based on sentiment analysis.

  • To classify the tweets

  • To interpret the public sentiment variation.

  • To find the user intention about product or service.

+ Aim & Objectives
  • To provide sentiment analysis based on sentiment analysis.

  • To classify the tweets

  • To interpret the public sentiment variation.

  • To find the user intention about product or service.

  • The sentiment lexicon is the most sensitive resource for most sentiment analysis algorithms. The lexicon based approach is executed by replacing some words with its synonyms using the domain dictionary.

+ Contribution
  • The sentiment lexicon is the most sensitive resource for most sentiment analysis algorithms. The lexicon based approach is executed by replacing some words with its synonyms using the domain dictionary.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2EE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2EE

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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.