Vehicle defect discovery from social media

Authors:
Alan S. Abrahams;Jian Jiao;G. Alan Wang;Weiguo Fan
Affiliations:
Department of Business Information Technology, Pamplin College of Business, Virginia Tech, 1007 Pamplin Hall, Blacksburg, VA 24061, United States;Department of Computer Science, Virginia Tech, 114 McBryde Hall, Blacksburg, VA 24061, United States;Department of Business Information Technology, Pamplin College of Business, Virginia Tech, 1007 Pamplin Hall, Blacksburg, VA 24061, United States;Department of Accounting and Information Systems, Pamplin College of Business, Virginia Tech, 3007 Pamplin Hall, Blacksburg, VA 24061, United States
Venue:
Decision Support Systems
Year:
2012

Citing 35
Cited 5

The case research strategy in studies of information systems

MIS Quarterly
CEO and CIO perspectives on competitive intelligence

Communications of the ACM
The cube data model: a conceptual model and algebra for on-line analytical processing in data warehouses

Decision Support Systems - Special issue on WITS '97
Mining the Web: Discovering Knowledge from HyperText Data

Mining the Web: Discovering Knowledge from HyperText Data
Comparison of Three Vertical Search Spiders

Computer
Measuring praise and criticism: Inference of semantic orientation from association

ACM Transactions on Information Systems (TOIS)
Testing a cancer meta spider

International Journal of Human-Computer Studies
Introduction to the special issue on word sense disambiguation: the state of the art

Computational Linguistics - Special issue on word sense disambiguation
Automatic word sense discrimination

Computational Linguistics - Special issue on word sense disambiguation
Communities of practice and organizational performance

IBM Systems Journal
Learning extraction patterns for subjective expressions

EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Effective profiling of consumer information retrieval needs: a unified framework and empirical comparison

Decision Support Systems
Tapping the power of text mining

Communications of the ACM - Privacy and security in highly dynamic systems
Recognizing contextual polarity in phrase-level sentiment analysis

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Stylistic text classification using functional lexical features: Research Articles

Journal of the American Society for Information Science and Technology
A Methodology for Analyzing Web-Based Qualitative Data

Journal of Management Information Systems
Improving customer complaint management by automatic email classification using linguistic style features as predictors

Decision Support Systems
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums

ACM Transactions on Information Systems (TOIS)
Do online reviews matter? - An empirical investigation of panel data

Decision Support Systems
Business Intelligence: An Analysis of the Literature

Information Systems Management
Opinion Mining and Sentiment Analysis

Foundations and Trends in Information Retrieval
Textual analysis of stock market prediction using breaking financial news: The AZFin text system

ACM Transactions on Information Systems (TOIS)
An integrative approach to assess qualitative and quantitative consumer feedback

Electronic Commerce Research
Marketspace or Marketplace? Online Information Search and Channel Outcomes in Auto Retailing

Information Systems Research
Virtual communities: A marketing perspective

Decision Support Systems
Word Sense Disambiguation: Algorithms and Applications

Word Sense Disambiguation: Algorithms and Applications
Automatic online news monitoring and classification for syndromic surveillance

Decision Support Systems
Steal my idea! Organizational adoption of user innovations from a user innovation community: A case study of Dell IdeaStorm

Decision Support Systems
Using text mining and sentiment analysis for online forums hotspot detection and forecast

Decision Support Systems
Why should i share? examining social capital and knowledge contribution in electronic networks of practice

MIS Quarterly
CyberGate: a design framework and system for text analysis of computer-mediated communication

MIS Quarterly
Personal information systems for strategic scanning in turbulent environments: can the CEO go on-line?

MIS Quarterly
Creating subjective and objective sentence classifiers from unannotated texts

CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Information mining - Reflections on recent advancements and the road ahead in data, text, and media mining

Decision Support Systems
Blog mining-review and extensions: "From each according to his opinion"

Decision Support Systems

More than words: Social networks' text mining for consumer brand sentiments

Expert Systems with Applications: An International Journal
Potential Power and Problems in Sentiment Mining of Social Media

International Journal of Strategic Decision Sciences
What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings

Decision Support Systems
Enhancing financial performance with social media: An impression management perspective

Decision Support Systems
Networked individuals predict a community wide outcome from their local information

Decision Support Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A pressing need of vehicle quality management professionals is decision support for the vehicle defect discovery and classification process. In this paper, we employ text mining on a popular social medium used by vehicle enthusiasts: online discussion forums. We find that sentiment analysis, a conventional technique for consumer complaint detection, is insufficient for finding, categorizing, and prioritizing vehicle defects discussed in online forums, and we describe and evaluate a new process and decision support system for automotive defect identification and prioritization. Our findings provide managerial insights into how social media analytics can improve automotive quality management.