Main Reference PaperMining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain, IEEE Transactions on Knowledge and Data Engineering, April 2012
  • This study explores the predictive power of reviews using the movie domain as a case study, and has studied the problem of predicting sales performance using sentiment information mined from reviews. This problem has been approached as a domain-driven task, and managed to synthesize human intelligence (e.g., identifying important characteristics of movie reviews), domain intelligence (e.g., the knowledge of the “seasonality” of box office revenues), and network intelligence (e.g., online reviews posted by moviegoers). The outcome of the proposed models leads to actionable knowledge that can readily be employed by decision makers

+ Description
  • This study explores the predictive power of reviews using the movie domain as a case study, and has studied the problem of predicting sales performance using sentiment information mined from reviews. This problem has been approached as a domain-driven task, and managed to synthesize human intelligence (e.g., identifying important characteristics of movie reviews), domain intelligence (e.g., the knowledge of the “seasonality” of box office revenues), and network intelligence (e.g., online reviews posted by moviegoers). The outcome of the proposed models leads to actionable knowledge that can readily be employed by decision makers

  • To provide the better performance of sentiments expressed in reviews and quality of reviews

  • To capture the complex nature of sentiments.

  • To improve the accuracy of prediction by considering the quality factor, with a focus on

+ Aim & Objectives
  • To provide the better performance of sentiments expressed in reviews and quality of reviews

  • To capture the complex nature of sentiments.

  • To improve the accuracy of prediction by considering the quality factor, with a focus on

  • EVA function is to be proposed uniquely to analysis the sentiments expressed in the Reviews. A straightforward aggregation procedureis to view a text as a bag of words, evaluate each a these individual words, and simply add up their scores. A function EVA that gives us a value for any arbitrary text. EVA function yields a specific value, it will be happy to use it as a coarse-grained ordinal scale.

+ Contribution
  • EVA function is to be proposed uniquely to analysis the sentiments expressed in the Reviews. A straightforward aggregation procedureis to view a text as a bag of words, evaluate each a these individual words, and simply add up their scores. A function EVA that gives us a value for any arbitrary text. EVA function yields a specific value, it will be happy to use it as a coarse-grained ordinal scale.

  • 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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