Concept Space Derivation and its Application in Query Categorization
Yashodhara V. Haribhakta, Parag A. Kulkarni · International Journal of Computer Applications · 2013
Automatic text categorization (also known as text classification or topic spotting) is the activity of labeling natural language texts with thematic categories from a predefined set. For the purpose of classifying the text documents, there is a need for a set of features and a weighting model which gives relevance value to the features. Currently, bag of words(BOW) is found to be the most widely accepted text representation method. This representation has two major drawbacks. First, the amount of features is very large; second, there is no relatedness between the words. Topic Detection (TD) technique helps the BOW to handle the two drawbacks by detection features very relevant to the document in the space of concept. However, existing TD techniques were not designed for text categorization and