Main Reference PaperAutomatic sentiment analysis of Twitter messages, Fourth International Conference on Computational Aspects of Social Networks (CASoN), IEEE, 2012.
  • Previous research mainly focused on modeling and tracking public sentiment. Millions of users share their opinions on Twitter, making it a valuable platform for tracking and analyzing public sentiment. The proposed system proposes an automatic sentiment analysis. The proposed system analysis the sentiment within the tweet and classify this tweet under three category using classifier.

+ Description
  • Previous research mainly focused on modeling and tracking public sentiment. Millions of users share their opinions on Twitter, making it a valuable platform for tracking and analyzing public sentiment. The proposed system proposes an automatic sentiment analysis. The proposed system analysis the sentiment within the tweet and classify this tweet under three category using classifier.

  • 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.