Main Reference PaperSemantic Computing of Moods Based on Tags in Social Media of Music, IEEE Transactions on Knowledge and Data Engineering, Aug 2013.
  • This work proposes a novel technique called Affective Circumplex Transformation (ACT) for representing the moods of music tracks in an interpretable and robust fashion based on semantic computing of social tags and research in emotion modeling.

+ Description
  • This work proposes a novel technique called Affective Circumplex Transformation (ACT) for representing the moods of music tracks in an interpretable and robust fashion based on semantic computing of social tags and research in emotion modeling.

  • To improve the efficiency and accuracy of capturing moods in track.

  • To validate the mood prediction technique with rating prediction

  • To reduce the time to retrieve the music according to the user interest.

+ Aim & Objectives
  • To improve the efficiency and accuracy of capturing moods in track.

  • To validate the mood prediction technique with rating prediction

  • To reduce the time to retrieve the music according to the user interest.

  • Accuracy of the Semantic mood prediction is improved with audio features.

+ Contribution
  • Accuracy of the Semantic mood prediction is improved with audio features.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 & J2SE

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

  • Netbeans 8.0.1 & J2SE

  • 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-Depending on the complexity of the project and requirements.

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

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