Main Reference PaperDual Sentiment Analysis: Considering Two Sides of One Review, IEEE Transactions on Knowledge and Data Engineering, Aug 2015.
  • This paper proposes a technique to solve the polarity shift problem in sentiment classification. To solve the problem of sentiment classification, this paper proposes a model called as dual sentiment analysis (DSA). It contains two stages: 1) dual training (DT) and 2)dual prediction (DP). A dual training algorithm to make use of original and reversed training reviews in pairs for learning a sentiment classifier and a dual prediction algorithm to classify the test reviews by considering two sides of one review.

+ Description
  • This paper proposes a technique to solve the polarity shift problem in sentiment classification. To solve the problem of sentiment classification, this paper proposes a model called as dual sentiment analysis (DSA). It contains two stages: 1) dual training (DT) and 2)dual prediction (DP). A dual training algorithm to make use of original and reversed training reviews in pairs for learning a sentiment classifier and a dual prediction algorithm to classify the test reviews by considering two sides of one review.

  • The objective of the proposed work is to solve the problem sentiment classification.

  • To assist in supervised sentiment classification.

+ Aim & Objectives
  • The objective of the proposed work is to solve the problem sentiment classification.

  • To assist in supervised sentiment classification.

  • The existing of reversed reviews created based on supervised sentiment classification. The proposed system may contributes to create the reversed reviews based on unsupervised sentiment classification or imbalanced sentiment classification.

+ Contribution
  • The existing of reversed reviews created based on supervised sentiment classification. The proposed system may contributes to create the reversed reviews based on unsupervised sentiment classification or imbalanced sentiment classification.

  • 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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