Measuring design-level information quality in online reviews
Electronic Commerce Research and ApplicationsPublished 26 May 2018
Ismail Art Yagci, Sanchoy Das
Citations36
SJR quartileQ1
SJR score1.41
SNIP1.70
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This work investigates the volume and quality of product design information available in online reviews and introduces the design-level information quality (DLIQ) measure, a reliable predictor of actionable design information in the review database.
Abstract
Online product reviews are an important type of user-generated content. For product designers, they offer valuable information that identifies consumer likes, dislikes and desires. We investigate the volume and quality of product design information available in online reviews and introduce the design-level information quality (DLIQ) measure. DLIQ is indicative of the design contextual information stored in the online reviews for a given product. Three separate information components are evaluated: content, complexity, and relevancy. Key determinants of DLIQ are the number of reviews, sentences, words, noun words and feature matching noun words in a review database. DLIQ is formulated as an index and indicates information content relative to a sample of products. For a sample of ten products, RapidMiner was used to mine and illustrate the DLIQ. A validation test with a survey group confirms DLIQ is a reliable predictor of actionable design information in the review database.
Keywords
Social SciencesComputer Science
Bell System Technical JournalA Mathematical Theory of Communication
80,675 Citations1948Claude E. Shannon
Nature reviews. NeurosciencePower failure: why small sample size undermines the reliability of neuroscience
7,878 Citations2013Katherine S. Button, John P. A. Ioannidis +5 more
It is shown that the average statistical power of studies in the neurosciences is very low, and the consequences include overestimates of effect size and low reproducibility of results.
Mining and summarizing customer reviews
7,714 Citations2004Minqing Hu, Bing Liu
This research aims to mine and to summarize all the customer reviews of a product, and proposes several novel techniques to perform these tasks.
now publishers, Inc. eBooksOpinion Mining and Sentiment Analysis
6,745 Citations2008Bo Pang, Lillian Lee
Foundations and Trends® in Information RetrievalOpinion Mining and Sentiment Analysis
6,204 Citations2008Bo Pang, Lillian Lee
This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems and focuses on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis.
Meeting of the Association for Computational LinguisticsThumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
3,654 Citations2002Peter Peter, Turney
Encyclopedia of Machine Learning and Data MiningSentiment Analysis and Opinion Mining
3,319 Citations2017Lei Zhang, Bing Liu
Synthesis lectures on human language technologiesSentiment Analysis and Opinion Mining
3,241 Citations2012Bing Liu
This book is a comprehensive introductory and survey text that covers all important topics and the latest developments in the field with over 400 references and is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular.
MIS QuarterlyWhat Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.Com1
2,414 Citations2010Susan M. Mudambi, David Schuff
arXiv (Cornell University)Thumbs up? Sentiment Classification using Machine Learning Techniques
2,208 Citations2002Bo Pang, Lillian Lee +1 more
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
1,412 Citations2012
The process of whittling down the initial 734 submissions to the final set of 133 accepted papers required the coordination and time of a large number of willing volunteers, and special care was taken to minimize the error of rejecting a potentially good paper at this stage.
A holistic lexicon-based approach to opinion mining
1,388 Citations2008Xiaowen Ding, Bing Liu +1 more
This paper proposes a holistic lexicon-based approach to solving the problem of determining the semantic orientations (positive, negative or neutral) of opinions expressed on product features in reviews by exploiting external evidences and linguistic conventions of natural language expressions.
MIS QuarterlyWhat makes a helpful online review? a study of customer reviews on amazon.com
1,290 Citations2010Susan M. Mudambi, David Schuff
Mining opinion features in customer reviews
1,273 Citations2004Minqing Hu, Bing Liu
This project aims to summarize all the customer reviews of a product by mining opinion/product features that the reviewers have commented on and a number of techniques are presented to mine such features.
Choice Reviews OnlineWeb data mining: exploring hyperlinks, contents, and usage data
1,193 Citations2012
Sentiment analysis
1,158 Citations2003Tetsuya Nasukawa, Jeonghee Yi
This paper illustrates a sentiment analysis approach to extract sentiments associated with polarities of positive or negative for specific subjects from a document, instead of classifying the whole document intopositive or negative.
International Journal of Social Research MethodologyUsing and analysing focus groups: Limitations and possibilities
1,087 Citations2000Janet Smithson
Effects of adjective orientation and gradability on sentence subjectivity
671 Citations2000Vasileios Hatzivassiloglou, Janyce Wiebe
A novel trainable method that statistically combines two indicators of gradability is presented and evaluated, complementing existing automatic techniques for assigning orientation labels.
Electronic Commerce Research and ApplicationsEvaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content
528 Citations2011Nikolaos Korfiatis, Elena García-Bariocanal +1 more
It was found that review readability had a greater effect on the helpfulness ratio of a review than its length; in addition, extremely helpful reviews received a higher score than those considered less helpful.
Designing novel review ranking systems
324 Citations2007Anindya Ghose, Panagiotis G. Ipeirotis
It is shown that subjectivity analysis can give useful clues about the helpfulness of a review and about its impact on sales and the results can have several implications for the market design of online opinion forums.
Proceedings of the 2008 International Conference on Web Search and Data Mining
250 Citations2008Marc Najork, Andrei Broder +1 more
For the first ever WSDM conference, it was decided to have only a single track of full-length papers and not have short papers, poster papers, or demos, although this might change over time.
IEEE Transactions on Knowledge and Data EngineeringMining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain
241 Citations2011Xiaohui Yu, Yang Liu +2 more
A case study in the movie domain is conducted, and it is shown that both the sentiments expressed in the reviews and the quality of the reviews have a significant impact on the future sales performance of products in question.
Journal of EconometricsCalculation of maximum entropy densities with application to income distribution
197 Citations2003Ximing Wu
'Helpfulness' in online communities
170 Citations2009Jahna Otterbacher
A correlation and regression analysis uncovers a strong relationship between the chronological ordering of reviews and helpfulness, which both community participants and designers should keep in mind when using this method of social navigation.
Computer Vision Graphics and Image ProcessingImage restoration by a powerful maximum entropy method
168 Citations1983S. F. Burch, S. F. Gull +1 more
The maximum entropy algorithm revealed detail on the images not seen in the linear restorations, but which are known to exist, in the reconstruction of images from sparse data, which no comparable linear algorithm can handle.
Computer-Aided DesignIdentifying helpful online reviews: A product designer’s perspective
162 Citations2012Ying Liu, Jian Jin +3 more
This study proposes four categories of features that reflect designers' concerns in judging review helpfulness and argues that the study reported is able to improve designer's ability in business intelligence processing by offering more targeted customer opinions.
Electronic Commerce Research and ApplicationsTopic analysis of online reviews for two competitive products using latent Dirichlet allocation
158 Citations2018Wenxin Wang, Yi Feng +1 more
This paper extracts the key topics of online reviews for two specific competitive products via a text mining approach of latent Dirichlet allocation (LDA) and demonstrates the unique topics of the two products.
Lecture notes in computer scienceConstrained LDA for Grouping Product Features in Opinion Mining
151 Citations2011Zhongwu Zhai, Bing Liu +2 more
This paper first extends a popular topic modeling method, called Latent Dirichlet Allocation (LDA), with the ability to process large scale constraints, and two novel methods are proposed to extract two types of constraints automatically.
IEEE Transactions on Knowledge and Data EngineeringIdentifying Features in Opinion Mining via Intrinsic and Extrinsic Domain Relevance
141 Citations2014Zhen Hai, Kuiyu Chang +2 more
Experimental results on two real-world review domains show the proposed IEDR approach to outperform several other well-established methods in identifying opinion features.
Journal of Machine Learning ResearchInformation Bottleneck for Gaussian Variables
97 Citations2005ChechikGal, GlobersonAmir +2 more
Electronic Commerce Research and ApplicationsVisualizing market structure through online product reviews: Integrate topic modeling, TOPSIS, and multi-dimensional scaling approaches
89 Citations2014Kun Chen, Gang Kou +2 more
A unique and novel framework named WVAP (Weights from Valid Posterior Probability) based on Scree plot technique, which can filter the noises in posterior distribution obtained from Topic modeling, and improve accuracy in brand evaluation is developed.
A state of the art opinion mining and its application domains
72 Citations2009Haji Binali, Vidyasagar Potdar +1 more
The motivation of the framework for opinion mining and categorizing current literature in such a manner as to make clear, research opportunities is examined.
Electronic Commerce Research and ApplicationsThe role of entropy of review text sentiments on online WOM and movie box office sales
72 Citations2017Jong Hyup Lee, Sun Ho Jung +1 more
The results suggest that the entropy level in the review texts has a positive moderating impact on the relationship between WOM (e.g., valence and volume) and movie box office sales, and imply that deleting negative reviews to enhance product sales may not help online retailers or related parties.
Expert Systems with ApplicationsHow to design and utilize online customer center to support new product concept generation
66 Citations2011Yongtae Park, Sungjoo Lee
A framework for extracting customer opinions from websites and transforming them into product specification data is presented to incorporate customer opinions efficiently with new product development processes and to design online customer centers to better collect and analyze useful information.
IEEE Transactions on Knowledge and Data EngineeringFeature Selection Using f-Information Measures in Fuzzy Approximation Spaces
65 Citations2009Pradipta Maji, Sankar K. Pal
This paper compares the performance of different f-information measures for feature selection in fuzzy approximation spaces and proposes a novel feature selection method based on fuzzy-rough sets by maximizing the relevance and minimizing the redundancy of the selected features.
Sentiment classification using sentence-level semantic orientation of opinion terms from blogs
47 Citations2011Aurangzeb Khan, Baharum Baharudin
The results show the effectiveness of the proposed rule based domain independent sentiment analysis method and it outperforms the machine learning methods.
Production Planning & ControlIntegration of Internet and web-based tools in new product development process
29 Citations2007Gülçin Büyüközkan, Adil Baykasoğlu +1 more
This paper deals with management of product development with focus on synthesising new technology based concepts related to product development, and provides guidelines for successfully implementing technology oriented new product development practices with a customisation perspective.
Intelligent Data AnalysisA new ranking procedure by incomplete pairwise comparisons using preference subsets
28 Citations2009Lev V. Utkin
A method for ranking of alternatives or objects and its extensions by incomplete pairwise comparisons using random set theory is proposed and extended on the case of independent groups of experts.
Electronic Commerce Research and ApplicationsSentiment labeling for extending initial labeled data to improve semi-supervised sentiment classification
25 Citations2017Sangheon Lee, Wooju Kim
A semi-supervised learning framework which exploits unsupervised approach (JST) and adds only confidently predicted data to the training corpus in order to enrich the initial classifier in self-training.
Procedia Computer ScienceCombining Multiple Measures into a Single Figure of Merit
20 Citations2015Mark Chignell, Tiffany Tong +4 more
A global measure of performance is defined using summated z-scores and the behavior of this measure is discussed and it is compared with other approaches to creating linear combinations of variables.
Ranking by pairwise comparison a note on risk minimization
20 Citations2005Eyke Hüllermeier, Johannes Fürnkranz
A potential application of the ranking by pairwise comparison method in (qualitative) fuzzy classification is outlined by outlining a potential application and identifying some extensions necessary in this context.
Natural language processing technologies for developing a language learning environment
17 Citations2010Harald Wahl, Werner Winiwarter +1 more
The paper explains creation processes for NLP resources and gives an overview of corpora, and describes existing NLP standards, based on the requirements of the research work.
Networked Computing and Advanced Information ManagementFeature based opinion mining of online free format customer reviews using frequency distribution and Bayesian statistics
17 Citations2010Naveed Anwer, Ayesha Rashid +1 more
Electronic Commerce Research and ApplicationsConcept extraction and e-commerce applications
16 Citations2013Yongzheng Zhang, Rajyashree Mukherjee +1 more
The experimental results demonstrate that ICE significantly outperforms ACE and also outperforms KEA in concept extraction, and is used to showcase two e-commerce applications, i.e. product matching and topic-based opinion mining.
A classifier-based text mining approach for evaluating semantic relatedness using support vector machines
14 Citations2005Chung-Hong Lee, Hsin-Chang Yang
This paper presents a hybrid approach of a text-mining technique for measuring semantic relatedness among texts using support vector machines (SVM) method, and indicates that this approach can also be fitted to other research work, such as information filtering, and recategorizing resulting documents of search engine queries.
ViewURSA - User Review Structure Analysis: Understanding Online Reviewing Trends
11 Citations2010Amélie Marian, Gayatree Ganu +1 more
This work focuses on an analysis of free-text reviews by means of classification of reviews at the sentence level, with respect to both the topic and the sentiment expressed in the sentences, and shows that there is large amount of significant data in the hitherto untapped textual part of user reviews.
Product Feature Extraction with a Combined Approach
8 Citations2010Zhixing Li
A combined approach based on bootstrapping and ID3, ID3 is used as a feature selection algorithm in the iteration ofbootstrapping, and the combined approach can automatically extract textual patterns with different structures, and avoid the design of textual pattern structures and theDesign of similarity function among textual patterns.
International Conference on Information FusionPreference-based Monte Carlo weight assignment for multiple-criteria decision making in defense planning
6 Citations2014Johan Schubert, Pontus Hörling
A multiple process approach for finding the most preferred plan instance within military defense planning using decision makers' preferences and a Monte Carlo approach to find the Pareto optimal frontier of the plans.
International Journal of Knowledge and Web IntelligenceDesign feature opinion cause analysis: a method for extracting design intelligence from web reviews
2 Citations2015Ismail Art Yagci, Sanchoy Das
The authors introduce the design-feature-opinion-cause relationship DFOC method, which effectively extracts design intelligence from unstructured web reviews, using an association rule-based opinion mining procedure for capturing and extracting noun-adjective and noun-verb relationships.