Main Reference PaperWhich Online Reviews’ Do Consumers Find Most Helpful?: A Multimethod Investigation, Decision Support Systems, 2018 [Java/Python/R]
  • The proposed model describes the helpfulness of online reviews using particular features of reviews based on the artificial neural network. It deploys the sentiment analysis methods to identify the consumers’ interest in products.

+ Description
  • The proposed model describes the helpfulness of online reviews using particular features of reviews based on the artificial neural network. It deploys the sentiment analysis methods to identify the consumers’ interest in products.

  • To forecast the helpfulness of consumer review

  • To discover the attitude of the customer towards the product

+ Aim & Objectives
  • To forecast the helpfulness of consumer review

  • To discover the attitude of the customer towards the product

  • To improve the system to have the ability to identify the fake reviews of customer

+ Contribution
  • To improve the system to have the ability to identify the fake reviews of customer

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

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

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

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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