Simple and efficient classification scheme based on specific vocabulary
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DOI: 10.1007/s10287-012-0149-z
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- Rong Zheng & Jiexun Li & Hsinchun Chen & Zan Huang, 2006. "A framework for authorship identification of online messages: Writing‐style features and classification techniques," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 378-393, February.
- Claire Fautsch & Jacques Savoy, 2009. "Algorithmic stemmers or morphological analysis? An evaluation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1616-1624, August.
- Aidan Finn & Nicholas Kushmerick, 2006. "Learning to classify documents according to genre," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(11), pages 1506-1518, September.
- Efstathios Stamatatos, 2009. "A survey of modern authorship attribution methods," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(3), pages 538-556, March.
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Keywords
Statistics in lexical analysis; Corpus linguistics; Text categorization; Machine learning; Natural language processing (NLP);All these keywords.
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