Main Reference PaperOpinion mining for multiple types of emotion-embedded products-services through evolutionary strategy,Expert Systems With Applications, 2018 [Java]
  • This work address the multiple polarities problem for the same review word in multiple types of product/service. An effective multi-class SVM approach is proposed to predict opinions at the sentence level and document level. This approach employs measures of the central tendency, dispersion, shape, and fluctuation to describe the characteristics of the entire document.

Description
  • This work address the multiple polarities problem for the same review word in multiple types of product/service. An effective multi-class SVM approach is proposed to predict opinions at the sentence level and document level. This approach employs measures of the central tendency, dispersion, shape, and fluctuation to describe the characteristics of the entire document.

  • To reduce imbalances in data in the context of emotion identification.

  • To predict the sentiment at sentence level and document level.

  • Reducing time complexity.

Aim & Objectives
  • To reduce imbalances in data in the context of emotion identification.

  • To predict the sentiment at sentence level and document level.

  • Reducing time complexity.

  • An efficient emotion classification techniques is contributed to further improve the performance of sentiment classification.

Contribution
  • An efficient emotion classification techniques is contributed to further improve the performance of sentiment classification.

  • 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.

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