Implementation on Text Classification Using Bag of Words Model

Abstract

Bag of words provides one way to deal with text representation and apply it to a standard type of text arrangement. This method depends on the idea of Bag-of-Words (BOW) that measures the content which is accessible from Wikipedia, Kaggle, Gmail and so on. The proposed method is utilized to create a Vector Space Model, which truly sustained into a Support Vector Machine classifier. This is to arrange and gathering of document records that are publically accessible datasets through social media. The text results demonstrate the examination between the raw information and the clean information that is viewed on the word cloud.

Keywords: Bag-of-Words, Wikipedia, Word Cloud Machine Learning, Text Classification, preprocessing, feature extraction, Matlab, Text Analytics toolbox