A94-1027 a new probabilistic model for text categorization . Compared to previous models
C00-1066 Jungyun Seo Abstract The goal of text categorization is to classify documents into
A94-1027 </title> Makoto IWAYA M A Abstract Text categorization is the classification of documents
C00-1066 be used in areas where low-cost text categorization is needed . It also can be used
A94-1027 major probabilistic models for text categorization . Originally , these models have
A94-1027 trieval , but the adaptation to text categorization is straightforward . In a model
A94-1027 <title> A Probabilistic Model for Text Categorization : Based on a Single Random Variable
A92-1025 Joining Statistics with NLP for Text Categorization </title> Paul S Jacobs no title
A92-1025 lexical acquisition . 1 Introduction Text categorization is an excellent application domain
A92-1024 information . Carnegie Group 's Text Categorization Shell ( TCS ) -LSB- 1 -RSB- is
A92-1024 component of Carnegie Group 's Text Categorization Shell is a powerful pattern matcher
A94-1027 Brief Survey of Probabilistic Text Categorization In this section , we will briefly
A00-1038 Related Work The Carnegie Group 's Text Categorization Shell ( TCS ) ( Hayes , 1992
A94-1027 has better characteristics for text categorization compared to the previous models
A94-1027 . In a model of probabilistic text categorization , P ( cid ) = " the probability
A94-1004 for information retrieval and text categorization ( Jacobs , 1992 ; Cutting etal.
C00-1066 considerably increased . As a result , text categorization has become one of the key techniques
A97-1018 such as information retrieval , text categorization , text proofreading , OCR , speech
A94-1027 a new probabilistic model for text categorization , and compare it to the previous
C00-1066 combined directly . <title> Automatic Text Categorization by Unsupervised Learning </title>
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