%0 Journal Article
%T A Technical Study and Analysis on Fuzzy Similarity Based Models For Text Classification
%A Shalini Puri
%A Sona Kaushik
%J International Journal of Data Mining & Knowledge Management Process
%D 2012
%I Academy & Industry Research Collaboration Center (AIRCC)
%X In this new and current era of technology, advancements and techniques, efficient and effective text document classification is becoming a challenging and highly required area to capably categorize text documents into mutually exclusive categories. Fuzzy similarity provides a way to find the similarity of features among various documents. In this paper, a technical review on various fuzzy similarity basedmodels is given. These models are discussed and compared to frame out their use and necessity. A tour of different methodologies is provided which is based upon fuzzy similarity related concerns. It shows that how text and web documents are categorized efficiently into different categories. Various experimentalresults of these models are also discussed. The technical comparisons among each model¡¯s parameters are shown in the form of a 3-D chart. Such study and technical review provide a strong base of research work done on fuzzy similarity based text document categorization.
%K Text Classification
%K Feature Extraction
%K Feature Clustering
%K Data Dimensionality
%K Fuzzy Similarity
%K Fuzzy Association
%K Membership Function
%K Data Sets
%U http://airccse.org/journal/ijdkp/papers/2212ijdkp01.pdf