Linguistic features for review helpfulness prediction
作者：
Highlights：
• Presents novel linguistic features for predicting helpfulness of online reviews.
• Describes a method to automatically extract linguistic features from review text.
• Builds a predictive model and empirically evaluates it on amazon review datasets.
• The model is found to be a better predictor of helpfulness for experience goods.
摘要
•Presents novel linguistic features for predicting helpfulness of online reviews.•Describes a method to automatically extract linguistic features from review text.•Builds a predictive model and empirically evaluates it on amazon review datasets.•The model is found to be a better predictor of helpfulness for experience goods.
论文关键词：Review helpfulness,Linguistic category features,Sentiment analysis,Machine learning,Text mining
论文评审过程：Available online 5 January 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.044
