Main Reference PaperSemantic Computing of Moods Based on Tags in Social Media of Music, IEEE Transactions on Knowledge and Data Engineering, Aug 2013.
  • Mood tags are categorized into mood attributes using Wordnet based semantic relationship identification technique in which synonyms between two words are matched and the percentage of of common words are computed with each attribute and the attribute that exhibits high percentage of semantic relationship is associated to the mood term.

+ Description
  • Mood tags are categorized into mood attributes using Wordnet based semantic relationship identification technique in which synonyms between two words are matched and the percentage of of common words are computed with each attribute and the attribute that exhibits high percentage of semantic relationship is associated to the mood term.

  • 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

  • B.E / B.Tech / M.E / M.Tech

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

  • 10 – 15 Days

+ Order To Delivery
  • 10 – 15 Days

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