Main Reference PaperMerged Ontology and SVM-based Information Extraction and Recommendation System for Social Robots, IEEE Access, June 2017 [Java/J2EE]
  • A recommendation system is proposed that takes the input as full text query and performs sentiment analysis of item using merged ontology that comprises ontologies from multiple domains. It is integrated with SVM to remove irrelevant items.

+ Description
  • A recommendation system is proposed that takes the input as full text query and performs sentiment analysis of item using merged ontology that comprises ontologies from multiple domains. It is integrated with SVM to remove irrelevant items.

  • To retrieve needed data from the Internet by regular ontology.

  • To extract the item with sentiment words using refined information.

+ Aim & Objectives
  • To retrieve needed data from the Internet by regular ontology.

  • To extract the item with sentiment words using refined information.

  • A technique is contributed that improves the accuracy of recommendation system.

+ Contribution
  • A technique is contributed that improves the accuracy of recommendation system.

  • 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.

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

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

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