NDLI: A Robust Discriminative Term Weighting Based Linear Discriminant Method for Text Classification

Content Provider	IEEE Xplore Digital Library
Author	Junejo, K.N. Karim, A.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., LUMS Sch. of Sci. & Eng., Lahore (Junejo, K.N.; Karim, A.)
Abstract	Text classification is widely used in applications ranging from e-mail filtering to review classification. Many of these applications demand that the classification method be efficient and robust, yet produce accurate categorizations by using the terms in the documents only. We present a supervised text classification method based on discriminative term weighting, discrimination information pooling, and linear discrimination. Terms in the documents are assigned weights according to the discrimination information they provide for one category over the others. These weights also serve to partition the terms into two sets. A linear opinion pool is adopted for combining the discrimination information provided by each set of terms yielding a two-dimensional feature space. Subsequently, a linear discriminant function is learned to categorize the documents in the feature space. We provide intuitive and empirical evidence of the robustness of our method with three term weighting strategies. Experimental results are presented for data sets from three different application areas. The results show that our method's accuracy is higher than other popular methods, especially when there is a distribution shift from training to testing sets. Moreover, our method is simple yet robust to different application domains and small training set sizes.
Starting Page	323
Ending Page	332
File Size	477212
Page Count	10
File Format	PDF
ISBN	9780769535029
ISSN	15504786
DOI	10.1109/ICDM.2008.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-15
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Text categorization Electronic mail Application software Web pages Information filtering Hybrid power systems Data mining Computer science Data engineering generative-discriminative algorithm text classification term weighting
Content Type	Text
Resource Type	Article

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