Orthographic Errors in Web Pages: Toward Cleaner Web Corpora
Computational Linguistics
Information Processing and Management: an International Journal
Journal of Information Science
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Learning to recognize webpage genres
Information Processing and Management: an International Journal
Using non-lexical features to identify effective indexing terms for biomedical illustrations
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
A machine learning approach to sentiment analysis in multilingual Web texts
Information Retrieval
For a few dollars less: identifying review pages sans human labels
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Genre distinctions for discourse in the Penn TreeBank
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Sentiment Classification across Domains
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Searching for ground truth: a stepping stone in automating genre classification
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
We're not in Kansas anymore: detecting domain changes in streams
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Which clustering do you want? inducing your ideal clustering with minimal feedback
Journal of Artificial Intelligence Research
Authorship Attribution Based on Specific Vocabulary
ACM Transactions on Information Systems (TOIS)
Structured text retrieval by means of affordances and genre
FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
Transverse subjectivity classification
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Cross-lingual genre classification
EACL '12 Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics
Recognition of word collocation habits using frequency rank ratio and inter-term intimacy
Expert Systems with Applications: An International Journal
A cross-domain analysis of task and genre effects on perceptions of usefulness
Information Processing and Management: an International Journal
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Current document-retrieval tools succeed in locating large numbers of documents relevant to a given query. While search results may be relevant according to the topic of the documents, it is more difficult to identify which of the relevant documents are most suitable for a particular user. Automatic genre analysis (i.e., the ability to distinguish documents according to style) would be a useful tool for identifying documents that are most suitable for a particular user. We investigate the use of machine learning for automatic genre classification. We introduce the idea of domain transfer—genre classifiers should be reusable across multiple topics—which does not arise in standard text classification. We investigate different features for building genre classifiers and their ability to transfer across multiple-topic domains. We also show how different feature-sets can be used in conjunction with each other to improve performance and reduce the number of documents that need to be labeled. © 2006 Wiley Periodicals, Inc.