Main Reference PaperRating Prediction based on Social Sentiment from Textual Reviews, IEEE Transactions on Multimedia , 2016 [Java/J2EE].
  • A sentiment-based rating prediction method (RPS) is proposed to improve prediction accuracy in recommender systems. To achieve the rating prediction, proposed method includes 3 factors 1) user sentiment similarity, 2) interpersonal sentimental influence, and 3) item reputation similarity into a probabilistic matrix factorization framework to carry out an accurate recommendation.

+ Description
  • A sentiment-based rating prediction method (RPS) is proposed to improve prediction accuracy in recommender systems. To achieve the rating prediction, proposed method includes 3 factors 1) user sentiment similarity, 2) interpersonal sentimental influence, and 3) item reputation similarity into a probabilistic matrix factorization framework to carry out an accurate recommendation.

  • To improve the accuracy rating prediction.

  • To improve the recommendation performance by sentiment can well characterize user preference.

+ Aim & Objectives
  • To improve the accuracy rating prediction.

  • To improve the recommendation performance by sentiment can well characterize user preference.

  • A work contributes to consider more linguistic rules when analyzing the context, and it can enrich the sentiment dictionaries to apply fine-grained sentiment analysis.

+ Contribution
  • A work contributes to consider more linguistic rules when analyzing the context, and it can enrich the sentiment dictionaries to apply fine-grained sentiment analysis.

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1 and J2EE.

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

  • Netbeans 8.0.1 and J2EE.

  • B.E / B.Tech / M.E / M.Tech

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

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