Main Reference PaperRating Prediction based on Social Sentiment from Textual Reviews, IEEE Transactions on Multimedia , 2016 [R].
  • 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.

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

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

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