<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ocampo-diaz-ng-2018-modeling">
    <titleInfo>
        <title>Modeling and Prediction of Online Product Review Helpfulness: A Survey</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Gerardo</namePart>
        <namePart type="family">Ocampo Diaz</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Vincent</namePart>
        <namePart type="family">Ng</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Iryna</namePart>
            <namePart type="family">Gurevych</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yusuke</namePart>
            <namePart type="family">Miyao</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Melbourne, Australia</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>As the amount of free-form user-generated reviews in e-commerce websites continues to increase, there is an increasing need for automatic mechanisms that sift through the vast amounts of user reviews and identify quality content. Review helpfulness modeling is a task which studies the mechanisms that affect review helpfulness and attempts to accurately predict it. This paper provides an overview of the most relevant work in helpfulness prediction and understanding in the past decade, discusses the insights gained from said work, and provides guidelines for future research.</abstract>
    <identifier type="citekey">ocampo-diaz-ng-2018-modeling</identifier>
    <identifier type="doi">10.18653/v1/P18-1065</identifier>
    <location>
        <url>https://aclanthology.org/P18-1065</url>
    </location>
    <part>
        <date>2018-07</date>
        <extent unit="page">
            <start>698</start>
            <end>708</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Modeling and Prediction of Online Product Review Helpfulness: A Survey
%A Ocampo Diaz, Gerardo
%A Ng, Vincent
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F ocampo-diaz-ng-2018-modeling
%X As the amount of free-form user-generated reviews in e-commerce websites continues to increase, there is an increasing need for automatic mechanisms that sift through the vast amounts of user reviews and identify quality content. Review helpfulness modeling is a task which studies the mechanisms that affect review helpfulness and attempts to accurately predict it. This paper provides an overview of the most relevant work in helpfulness prediction and understanding in the past decade, discusses the insights gained from said work, and provides guidelines for future research.
%R 10.18653/v1/P18-1065
%U https://aclanthology.org/P18-1065
%U https://doi.org/10.18653/v1/P18-1065
%P 698-708

Markdown (Informal)

[Modeling and Prediction of Online Product Review Helpfulness: A Survey](https://aclanthology.org/P18-1065) (Ocampo Diaz & Ng, ACL 2018)

• Modeling and Prediction of Online Product Review Helpfulness: A Survey (Ocampo Diaz & Ng, ACL 2018)

ACL

• Gerardo Ocampo Diaz and Vincent Ng. 2018. Modeling and Prediction of Online Product Review Helpfulness: A Survey. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 698–708, Melbourne, Australia. Association for Computational Linguistics.