Machine Learning approach for Content Mining System

Abstract

Text Classification (TC), also known as Text Categorization, is the mission of robotically classifying a set of text documents into dissimilar categories from a predefined set. If a manuscript belongs to exactly one of the categories, it is a single-label categorization task; otherwise, it is a multi-label categorization task. TC uses several tools from Information Retrieval (IR) and Machine Learning (ML) and has received much consideration in the last years from both researchers in academia and manufacturing developers. In this paper, we first categorize the documents using KNN based machine learning approach and then return the most appropriate documents.