- Home
- Publications
- Publication Search
- Publication Details
Title
E-word of mouth sentiment analysis for user behavior studies
Authors
Keywords
sentiment analysis, electronic word-of-mouth, online dating service, machine learning
Journal
INFORMATION PROCESSING & MANAGEMENT
Volume 59, Issue 1, Pages 102784
Publisher
Elsevier BV
Online
2021-10-20
DOI
10.1016/j.ipm.2021.102784
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Learning bilingual sentiment lexicon for online reviews
- (2021) Chia-Hsuan Chang et al. Electronic Commerce Research and Applications
- Social sharing of consumption emotion in electronic word of mouth (eWOM): A cross-media perspective
- (2021) Hongfei Liu et al. JOURNAL OF BUSINESS RESEARCH
- Information Usefulness and Attitude Formation a Double-Dependent Variable Model (DDV) to Examine the Impacts of Online Reviews on Consumers
- (2021) Jinting Lu et al. Journal of Organizational and End User Computing
- Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis
- (2021) Naveen Donthu et al. JOURNAL OF BUSINESS RESEARCH
- A Hybrid Multilingual Fuzzy-Based Approach to the Sentiment Analysis Problem Using SentiWordNet
- (2020) Youness Madani et al. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
- The application of netnography to the online dating service experiences of female users
- (2019) Yi-Sheng Wang BEHAVIOUR & INFORMATION TECHNOLOGY
- Survey on classic and latest textual sentiment analysis articles and techniques
- (2019) Yong Shi et al. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
- The emotion–valuation constellation: Multiple emotions are governed by a common grammar of social valuation
- (2019) Daniel Sznycer et al. EVOLUTION AND HUMAN BEHAVIOR
- A Machine Learning Approach for Automated Evaluation of Short Answers Using Text Similarity Based on WordNet Graphs
- (2019) Sonakshi Vij et al. WIRELESS PERSONAL COMMUNICATIONS
- Co-Training Semi-Supervised Deep Learning for Sentiment Classification of MOOC Forum Posts
- (2019) Jing Chen et al. Symmetry-Basel
- Parallel Aspect-Oriented Sentiment Analysis for Sales Forecasting with Big Data
- (2017) Raymond Yiu Keung Lau et al. PRODUCTION AND OPERATIONS MANAGEMENT
- What Does the Brain Tell Us About Trust and Distrust? Evidence from a Functional Neuroimaging Study
- (2017) Dimoka MIS QUARTERLY
- An approach based on the Bass model for analyzing the effects of feature fatigue on customer equity
- (2014) Mingxing Wu et al. Computational and Mathematical Organization Theory
- Online game addiction among adolescents: motivation and prevention factors
- (2011) Zhengchuan Xu et al. EUROPEAN JOURNAL OF INFORMATION SYSTEMS
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started