Collaborative reputation mechanisms for electronic marketplaces
Decision Support Systems - Special issue for business to business electronic commerce, issues and solutions
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
Applying Machine Learning to Text Segmentation for Information Retrieval
Information Retrieval
Chinese word segmentation and its effect on information retrieval
Information Processing and Management: an International Journal
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
The roles of players and reputation: evidence from eBay online auctions
Decision Support Systems
Using Online Conversations to Study Word-of-Mouth Communication
Marketing Science
International Journal of Electronic Commerce
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Using ontology network analysis for research document recommendation
Expert Systems with Applications: An International Journal
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
eWOM overload and its effect on consumer behavioral intention depending on consumer involvement
Electronic Commerce Research and Applications
International Journal of Electronic Commerce
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
A comparison of purchase decision calculus between potential and repeat customers of an online store
Decision Support Systems
Internet search: Subdivision-based interactive query expansion and the soft semantic web
Applied Soft Computing
Sentiment-oriented contextual advertising
Knowledge and Information Systems
Manipulation in digital word-of-mouth: A reality check for book reviews
Decision Support Systems
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Since eWOM provides a rich source of objective information about products or services, it has become one of the major ways in which consumers collect information about items they are interested in buying. However, the problem of eWOM overload makes it difficult to effectively collect this information, and may have adverse effects on their actual purchase behavior. eWOM content is characterized by unstructured text formats, oversimplified expressions, and newly coined phrases (textspeak), and these all contribute to the challenges that arise when analyzing eWOM. This study thus proposes an eWOM analysis method for analyzing eWOM, which may lead to a more effective method for analyzing eWOM content, extracting both positive and negative appraisals, and help consumers in their decision making. At the same time, the method proposed in this study can also be utilized as a tool to assist companies in better understanding product or service appraisals, thus translating these opinions into business intelligence and as the basis for product/service improvements.