C4.5: programs for machine learning
C4.5: programs for machine learning
Making large-scale support vector machine learning practical
Advances in kernel methods
Foundations of statistical natural language processing
Foundations of statistical natural language processing
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
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
Data Mining
Process-Specific Information for Learning Electronic Negotiation Outcomes
Fundamenta Informaticae
Affect analysis model: Novel rule-based approach to affect sensing from text
Natural Language Engineering
Language patterns in the learning of strategies from negotiation texts
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Process-Specific Information for Learning Electronic Negotiation Outcomes
Fundamenta Informaticae
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The intensive use of the Web, email and instant messaging for inter- and intra-business communications has resulted in rapid increase of electronic business communication, including negotiations Simulated electronic negotiations have become an important tool in the study of “real world” electronic negotiations We explore negotiation strategies by applying Statistical Natural Language Processing and Machine Learning methods to the text data of simulated electronic negotiations We derive conclusions about strategies in successful and unsuccessful negotiations We support our claims by extracting information about strategies and representing data through this information We classify data and analyze classification results with respect to learning abilities of the classifiers and the data representation.