Predicting Product Ratings From Review Text

نویسنده

  • Michael Tran
چکیده

When users purchase items, they leave feedback in the form of ratings or text reviews. It would be helpful to be able to predict product ratings from features extracted from review text to discover potential relationships between the two. In this assignment, we extract features from text reviews and then use regression and topic models to predict users’ product ratings.

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تاریخ انتشار 2015