Main Reference PaperSentiment Analysis on Product Reviews using Hadoop, International Journal of Computer Applications, May 2016 [Java/Hadoop].
  • To analyze the sentiment for product reviews, this work proposes a MapReduce technique provided by Apache Hadoop. Proposed techniques summarize the reviews posted by customer to help other potential customers, that reduces the time consumption, provides an effective summarization of reviews in a manner suitable for users.

+ Description
  • To analyze the sentiment for product reviews, this work proposes a MapReduce technique provided by Apache Hadoop. Proposed techniques summarize the reviews posted by customer to help other potential customers, that reduces the time consumption, provides an effective summarization of reviews in a manner suitable for users.

  • Reducing time complexity.

+ Aim & Objectives
  • Reducing time complexity.

  • To improve the rating process further, by taking into consideration the usage of slangs term used by people. Features can also be clubbed together according to the score as good, neutral, and bad.

+ Contribution
  • To improve the rating process further, by taking into consideration the usage of slangs term used by people. Features can also be clubbed together according to the score as good, neutral, and bad.

  • Java JDK 1.8, Hadoop 1.2.1

  • Netbeans 8.0.1, J2SE, Hadoop

+ Software Tools & Technologies
  • Java JDK 1.8, Hadoop 1.2.1

  • Netbeans 8.0.1, J2SE, Hadoop

  • 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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