A Survey on Text Classification methods through Machine Learning Methods

Abstract

With the instant growth of information, text classification has became most refered technique for organizing and utilizing text data effectively as the text classification will perform the tasks such as “information extraction, text summarization text retrieval, medical diagnosis, news group filtering, spam filtering, and sentiment analysis”. In this paper we mine and explore the text classification process over machine learning and its techniques by implementing “k-nearest neighbors, support vector machine, naive Bayesian methods”.