Efficient Hybrid Machine Learning Algorithm for text Classification

Abstract

Text Mining and Text Classification are the most important and challenging task. Deriving high quality and relevant information form text is Text Mining and categorizing the text documents is done using the Text Classification. The real challenge in these areas is to address the problems like handling large text corpora, similarity of words in text documents, and association of text documents with a subset of class categories. The feature extraction and classi?cation of such text documents require an efficient machine learning algorithm which performs automatic text classification. The major drawback encountered in text classification and retrieval is determining whether a text is pertinent to the query. This work focuses on text classification by using the data mining techniques. A hybrid algorithm is proposed for classifying the text. The proposed algorithm combines the concepts of KNN, SVM and NB. The results obtained support the proposed hybrid algorithm in text classification.