C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
A neuro-fuzzy method to learn fuzzy classification rules from data
Fuzzy Sets and Systems - Special issue: application of neuro-fuzzy systems
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
NEFCLASSmdash;a neuro-fuzzy approach for the classification of data
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Data Mining and Knowledge Discovery
A Neuro-fuzzy Based Alarm System for Septic Shock Patients with a Comparison to Medical Scores
ISMDA '02 Proceedings of the Third International Symposium on Medical Data Analysis
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Exploratory Data Mining and Data Cleaning
Exploratory Data Mining and Data Cleaning
The predictive power of online chatter
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Deriving marketing intelligence from online discussion
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
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
Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68)
Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68)
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
ARSA: a sentiment-aware model for predicting sales performance using blogs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Online Detecting and Tracking of the Evolution of User Communities
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
Contextual Prediction of Communication Flow in Social Networks
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Text classification based on multi-word with support vector machine
Knowledge-Based Systems
A framework for WWW user activity analysis based on user interest
Knowledge-Based Systems
International Journal of Electronic Commerce
Tracking Topic Evolution in News Environments
CECANDEEE '08 Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services
Modeling and predicting group activity over time in online social media
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Opinion and Relationship Mining in Online Forums
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Detecting opinion leaders and trends in online social networks
Proceedings of the 2nd ACM workshop on Social web search and mining
Modelling user preferences and mediating agents in electronic commerce
Knowledge-Based Systems
A classification-based review recommender
Knowledge-Based Systems
Predicting customer churn through interpersonal influence
Knowledge-Based Systems
Identifying the semantic orientation of terms using S-HAL for sentiment analysis
Knowledge-Based Systems
Online reputation management for improving marketing by using a hybrid MCDM model
Knowledge-Based Systems
Identifying influential nodes in complex networks with community structure
Knowledge-Based Systems
Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance
Potential Power and Problems in Sentiment Mining of Social Media
International Journal of Strategic Decision Sciences
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More and more consumers are relying on online opinions when making purchasing decisions. For this reason, companies must have knowledge of the actual standing of their products on the Web. A warning system for online market research is being proposed which allows the identification of critical situations in online opinion formation. When critical situations are detected, warnings are subsequently sent to marketing managers and thus allowing marketers the ability to initiate preventive measures. The warning system operates on a knowledge base which contains product-related success values, online opinions and patterns of social interactions. This knowledge is acquired using methods coming from information extraction, text mining and social network analysis. Based on this knowledge the warning system judges situations accordingly. For this purpose, a neuro-fuzzy approach is chosen which learns linguistic rules from data. These rules are employed to estimate future situations. The warning system is applied to two scenarios and yields good results. An evaluation shows that all components of the warning system outperform alternative methods.