The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …

With the incremental use of emails as an essential and popular communication mean over
the Internet, there comes a serious threat that impacts the Internet and the society. This …

This work shows the use of WEKA, a tool that implements the most common machine
learning algorithms, to perform a Text Mining analysis on a set of documents. Applying these …

Preprocessing is one of the key components in a typical text classification framework. This
paper aims to extensively examine the impact of preprocessing on text classification in terms …

In this paper a novel approach is proposed to predict intraday directional-movements of a
currency-pair in the foreign exchange market based on the text of breaking financial news …

Feature selection is known as a good solution to the high dimensionality of the feature space
and mostly preferred feature selection methods for text classification are filter-based ones. In …

High dimensionality of the feature space is one of the most important concerns in text
classification problems due to processing time and accuracy considerations. Selection of …

Electronic mail is a medium of communication used frequently for conveying a variety of
information. It has become an integral part of people's lives owing to its ease of access and …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

High dimensionality of text data hinders the performance of classifiers making it necessary to
apply feature selection for dimensionality reduction. Most of the feature ranking metrics for …