Text categorization, namely text classification aims to predict the predefined labels (moods,
subjects, etc.) of the given documents. It has been so difficult to categorize the text data in …

In this paper, we present a semi-supervised learning algorithm for classification of text
documents. A method of labeling unlabeled text documents is presented. The presented …

With the ever-increasing quantity of text data from a variety of online sources, it is a
significant task to categorize or classify these text documents into categories that are …

Text categorization, also known as text classification is a supervised classification problem. It
aims to assign a predefined class label or group to a new or unknown text document. Most of …

This paper proposes a method for automated classification of news articles from various
online news sources into certain labels based on their domain. The work uses concepts of …

The goal of text categorization is to classify documents into a certain number of pre-defined
categories. The previous studies in this area have used a large number of labeled training …

Text categorization is one of the fundamental tasks in text mining. Classical supervised
methods need lot of labeled data to train a classifier. Since assigning labels to the large …

Today abundant information is available due to the advent of Internet, which is usually
stored with sole purpose of current needs alone. Such data thus rest in unclassified in dump …