With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

Automated text categorization is an important technique for many web applications, such as
document indexing, document filtering, and cataloging web resources. Many different …

This is an effort to analyze the reaction of stock prices of Indian public and private banks
listed in NSE and BSE to the announcement of seven best case news events. Several recent …

Designing a good feature selection (FS) algorithm is of utmost importance especially for text
classification (TC), wherein a large number of features representing terms or words pose …

Text categorization, which consists of automatically assigning documents to a set of
categories, usually involves the management of a huge number of features. Most of them are …

Supervised text categorization is a machine learning task where a predefined category label
is automatically assigned to a previously unlabelled document based upon characteristics of …

Email has met tremendous popularity over the past few years. People are sending and
receiving many messages per day, communicating with partners and friends, or exchanging …

Feature selection is an indispensable preprocessing step for effective analysis of high
dimensional data. It removes irrelevant features, improves the predictive accuracy and …

The rapid increase in the number of community-based question-and-answer services has
built up large archives of questions and answers. These archives deliver a plethora of …

In this paper, an automatic generation of domain-specific stopwords from a large labeled
corpus is proposed. In the majority of text mining tasks, stopwords are removed according to …