A problem for RST: the need for multi-level discourse analysis
Computational Linguistics
Communications of the ACM
Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Learning to remove Internet advertisements
Proceedings of the third annual conference on Autonomous Agents
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Evaluating Internet resources: identity, affiliation, and cognitive authority in a networked world
Journal of the American Society for Information Science and Technology
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Understanding Natural Language
Understanding Natural Language
Information Retrieval: Algorithms and Heuristics
Information Retrieval: Algorithms and Heuristics
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Genre Classification and Domain Transfer for Information Filtering
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
Information Systems Research
A Comparison of Word- and Sense-Based Text Categorization Using Several Classification Algorithms
Journal of Intelligent Information Systems
Automatic text categorization in terms of genre and author
Computational Linguistics
Automatic detection of text genre
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
The rhetorical parsing of natural language texts
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Systemic grammar in computation: the Nigel case
EACL '83 Proceedings of the first conference on European chapter of the Association for Computational Linguistics
Demonstration of GENESYS: a very large, semantically based systemic functional generator
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 1
A decision-based approach to rhetorical parsing
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Improving machine learning approaches to coreference resolution
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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
Communications of the ACM - Supporting exploratory search
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Relational learning via propositional algorithms: an information extraction case study
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Tensor Space Models for Authorship Identification
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
A survey of modern authorship attribution methods
Journal of the American Society for Information Science and Technology
Authorship attribution and verification with many authors and limited data
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Using feature construction to avoid large feature spaces in text classification
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Cuisine: Classification using stylistic feature sets and-or name-based feature sets
Journal of the American Society for Information Science and Technology
Mining comparative opinions from customer reviews for Competitive Intelligence
Decision Support Systems
Towards style transformation from written-style to audio-style
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Style analysis of academic writing
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Combining lexicon and learning based approaches for concept-level sentiment analysis
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Characterizing stylistic elements in syntactic structure
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Vehicle defect discovery from social media
Decision Support Systems
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Most text analysis and retrieval work to date has focused on the topic of a text; that is, what it is about. However, a text also contains much useful information in its style, or how it is written. This includes information about its author, its purpose, feelings it is meant to evoke, and more. This article develops a new type of lexical feature for use in stylistic text classification, based on taxonomies of various semantic functions of certain choice words or phrases. We demonstrate the usefulness of such features for the stylistic text classification tasks of determining author identity and nationality, the gender of literary characters, a text's sentiment (positive/negative evaluation), and the rhetorical character of scientific journal articles. We further show how the use of functional features aids in gaining insight about stylistic differences among different kinds of texts. © 2007 Wiley Periodicals, Inc.