Natural language processing technologies for developing a language learning environment
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Exploiting effective features for chinese sentiment classification
Expert Systems with Applications: An International Journal
Identification of fine grained feature based event and sentiment phrases from business news stories
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
A framework for automatic web service discovery based on semantics and NLP techniques
Advances in Multimedia - Special issue on Web Services in Multimedia Communication
Evolving social data mining and affective analysis methodologies, framework and applications
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Identifying well-formed biomedical phrases in MEDLINE® text
Journal of Biomedical Informatics
A lazy man's way to part-of-speech tagging
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Using similes to extract basic sentiments across languages
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
ICWL'12 Proceedings of the 11th international conference on Advances in Web-Based Learning
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Proceedings of International Conference on Information Integration and Web-based Applications & Services
A weakly supervised approach to Chinese sentiment classification using partitioned self-training
Journal of Information Science
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The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. New to the Second Edition Greater prominence of statistical approaches New applications section Broader multilingual scope to include Asian and European languages, along with English An actively maintained wiki (http://handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developments Divided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining. Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems.