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The two main factors that characterize a text are its content and its style, and both can be used as a means of categorization. In this paper we present an approach to text categorization in terms of ...
In 1965 two freshly minted linguistic anthropology Ph. Ds were chatting about their recent respective fieldwork experiences, one in Chiapas, Mexico, among speakers of the Mayan language Tzeltal the ot...
This paper is a comparative study on representing units in Chinese text categorization. Several kinds of representing units, including byte 3-gram, Chinese character, Chinese word, and Chinese word wi...
k is the most important parameter in a text categorization system based on k-Nearest Neighbor algorithm (kNN).In the classification process, k nearest documents to the test one in the training set are...
Traditional tfidf-like term weighting schemes have a rough statistic — idf as the term weighting factor, which does not exploit the category information (category labels on documents) and intra-docume...
A Comparison and Semi-Quantitative Analysis of Words and Character-Bigrams as Features in Chinese Text Categorization.
High dimensionality of feature space is a crucial obstacle for Automated Text Categorization. According to the characteristics of Chinese character N-grams, this paper reveals that there exists a kind...
High dimensionality of feature space is a main obstacle for Text Categorization (TC). In a candidate feature set consisting of Chinese character bigrams, there exist a number of bigrams which are high...
In Text Categorization (TC) based on Vector Space Model, feature weighting and feature selection are major problems and difficulties. This paper proposes two methods of weighting features by combining...
In Text Categorization (TC) based on the vector space model, feature weighting is vital for the categorization effectiveness. Various non-binary weighting schemes are widely used for this purpose. By ...

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