A Review on Technique Used for Text and Image Categorization Using Feature Clustering

Dipak R. Pardhi, Charushila D. Patil

Abstract: Many text documents having non segmented text and images needs to be divided in proper groups. There are lots of algorithms are available for classification of text and images. When text documents are classified the feature or important term available in that document is find out and depending upon that term text documents are classified. In this paper, we have to develop a similarity based Fuzzy algorithm which will categorize text document and images in to different classes by applying the concept text mining

Keywords: Natural Language processing, Feature extraction, Concept mining, Feature clustering, Fuzzy similarity measure, Sentence level, Document level, and integrated corpora level processing