Using Argument-based Features to Predict and Analyse Review Helpfulness

07/23/2017
by   Haijing Liu, et al.
0

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. To validate this hypothesis, we manually annotate arguments in 110 hotel reviews, and investigate the effectiveness of several combinations of argument-based features. Experiments suggest that, when being used together with the argument-based features, the state-of-the-art baseline features can enjoy a performance boost (in terms of F1) of 11.01% in average.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/10/2020

Argument Mining Driven Analysis of Peer-Reviews

Peer reviewing is a central process in modern research and essential for...
research
06/24/2019

Classification and Clustering of Arguments with Contextualized Word Embeddings

We experiment with two recent contextualized word embedding methods (ELM...
research
04/30/2020

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions

Argumentation is a type of discourse where speakers try to persuade thei...
research
10/26/2021

Assessing the Sufficiency of Arguments through Conclusion Generation

The premises of an argument give evidence or other reasons to support a ...
research
07/21/2019

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network

With the advancement in argument detection, we suggest to pay more atten...
research
02/19/2023

Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews

Businesses and customers can gain valuable information from product revi...
research
04/20/2021

Identifying Helpful Sentences in Product Reviews

In recent years online shopping has gained momentum and became an import...

Please sign up or login with your details

Forgot password? Click here to reset