Main Reference PaperIdentifying Features in Opinion Mining via Intrinsic and Extrinsic Domain Relevance, IEEE Transactions on Knowledge and Data Engineering, 2014.
  • This paper proposes the technique to identify domain specific features First extract candidate opinion features from the domain review corpus, and for each extracted candidate feature, It then estimate its intrinsic-domain relevance (IDR) and extrinsic-domain relevance (EDR) scores on the domain-dependent and domain-independent corpora, respectively.

+ Description
  • This paper proposes the technique to identify domain specific features First extract candidate opinion features from the domain review corpus, and for each extracted candidate feature, It then estimate its intrinsic-domain relevance (IDR) and extrinsic-domain relevance (EDR) scores on the domain-dependent and domain-independent corpora, respectively.

  • To improve efficiency of identification features.

  • To improve performance of opinion mining

+ Aim & Objectives
  • To improve efficiency of identification features.

  • To improve performance of opinion mining

  • The contribution work will employ fine-grained topic modeling approach to jointly identify opinion features, including non-noun features, infrequent features, as well as implicit features.

+ Contribution
  • The contribution work will employ fine-grained topic modeling approach to jointly identify opinion features, including non-noun features, infrequent features, as well as implicit 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

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