Using Argument-based Features to Predict and Analyse Review Helpfulness

EMNLP 2017 Haijing LiuYang GaoPin LvMengxue LiShiqiang GengMinglan LiHao Wang

We study the helpful product reviews identification problem in this paper. We observe that the evidence-conclusion discourse relations, also known as arguments, often appear in product reviews, and we hypothesise that some argument-based features, e.g. the percentage of argumentative sentences, the evidences-conclusions ratios, are good indicators of helpful reviews... (read more)

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