Text Classification by Augmenting Bag of Words (BOW) Representation with Co-occurrence Feature
Soumya George K, Shibily Joseph · IOSR Journal of Computer Engineering · 2014
Text classification is the task of assigning predefined categories to free-text documents based on their content.Traditional approaches used unigram based models for text classification.Unigram based models such as Bag Of Words(BOW) models are not considering co-occurrence of set of words in a document level.This paper proposes a way to find co-occurrence feature from anchor text of wikipedia pages, proposes a way to incorporate co-occurrence feature to BOW model.Finally the method is analyzed to know how it performs in task of text classification.