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Anindya Ghose and Panagiotis G. Ipeirotis , Member, IEEE

Estimation the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics. Anindya Ghose and Panagiotis G. Ipeirotis , Member, IEEE. General Idea. Analysis on the sales impact contributed by reviews Analysis on review helpfulness

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Anindya Ghose and Panagiotis G. Ipeirotis , Member, IEEE

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  1. Estimation the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics AnindyaGhose and Panagiotis G. Ipeirotis, Member, IEEE

  2. General Idea • Analysis on the sales impact contributed by reviews • Analysis on review helpfulness • Predict helpfulness and sales impact

  3. Analysis on Sales Impact • 3 Hypothesis • Subjectivity level in reviews will be associated with a change in sales • Readability score of reviews will be associated with a change is sales • Proportion of spelling errors in reviews will be related to sales • Stepwise regression method is used

  4. Analysis on Review Helpfulness • 4 Hypothesis • Subjectivity associated with helpfulness of reviews • Readability associated with helpfulness of reviews • Spelling errors associated with helpfulness of reviews • Reviewer’s historical reviews related to perceived helpfulness of reviews • Stepwise regression method is used

  5. Variables

  6. Variables

  7. Variable explanation • Readability • Metrics contributed by other research calculated based on spelling mistake, length, etc • Subjectivity • Obtained by Dynamic Language Model classifier • 2 classes classification: Objective and Subjective • Return a probability of subjective for each sentence • Subjectivity is calculated as average probability for all sentence in a review ie. AvgProb • Deviation of subjectivity of sentence among the review is also obtained as DevProb

  8. Obtained regression model • Effect on sales ranks

  9. Obtained regression model • Effect on helpfulness

  10. Predictive model for sales rank • Reused the regression model • To predict the sign of difference of sales rank between T days. A positive sign means a better sales rank.

  11. Predictive Model for helpfulness • Other than reuse the regression model, the paper used random forest with different variable

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