Predicting Amazon review helpfulness
نویسنده
چکیده
Reviews on amazon are ranked by how helpful they are rated by users in an effort to quickly summarize the opinions of a product for potential buyers. This project aims to explore what factors affect a review’s helpfulness by building a classification model on the Amazon movie reviews data set. The model performs well with accuracies over 85% and it is found that a review’s writing style, product rating and unigram features affect helpfulness the most.
منابع مشابه
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تاریخ انتشار 2015