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Rough Set Based Approach to Text Classification
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013Textual document set has become an important and rapidly growing information source in the web. Text classification is one of the crucial technologies for information organisation and management. Text classification has become more and more important and attracted wide attention of researchers from different research fields. In this paper, many feature
Zhang, Libiao +3 more
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Stress, Meter, and Text-Setting
2020Verse meter organizes prominence-marking categories into isochronous and binary hierarchical rhythmic structures, subject to principles that are rooted in the faculty of language, stylized in verbal art, and manifested in a generalized and more abstract form in music and dance.
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Theory, Text-Setting, and Performance
Journal of Musicology, 1993I'll begin autobiographically. Several early drafts of this paper had an initial section noting how seldom music theorists raised political questions about their work. Eventually I decided to omit that section, for two reasons. One, simply, was that making that sort of argument isn't what I do best or what most authentically interests me. The other was
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Text Setting in African Composition
Research in African Literatures, 2001L'A., originaire du Nigeria et compositeur de musique moderne, decrit l'utilisation du texte en tant que signifiant dans la composition musicale en Afrique subsaharienne contemporaine. Il soutient que les textes d'auteurs africains (en langues africaines ou en langues europeennes) peuvent contribuer a l'etablissement d'une identite panafricaine dans la
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Text Feature Extraction Based on Rough Set
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008In this paper, a method for text feature extraction based on rough set (TFERS) is proposed. Firstly, a new formulation for attribute significance is presented based on the classification capability of condition attributes, which avoids the recalculation of attribute significance during iterations of reduction procedure conducted in conventional rough ...
Yiyuan Cheng +3 more
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Faster Adaptive Set Intersections for Text Searching
2006The intersection of large ordered sets is a common problem in the context of the evaluation of boolean queries to a search engine. In this paper we engineer a better algorithm for this task, which improves over those proposed by Demaine, Munro and Lopez-Ortiz [SODA 2000/ALENEX 2001], by using a variant of interpolation search.
Jérémy Barbay +2 more
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Ecological Settings in Text and Pictures
2018In this chapter offers a new analytical tool for reading how ecological settings can be presented in picturebooks. She builds her theoretical framework from Bronfenbrenner’s ecological systems theory and the Nature in Culture matrix. With her tool, Rattya analyses a Finnish award-nominated picturebook by Tomi Kontio and Elina Warsta.
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Partition for the Rough Set-Based Text Classification
2003Text classification based on Rough Sets theory is an effective method for the automatic document classification problem. However, the computing multiple reducts is a problem in this method. When the number of training document is large, it takes much time and large memory for the computation. It is very hard to be applied in the real application system.
Yongguang Bao +3 more
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