Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

With the huge amount of information available online, the World Wide Web is a fertile area
for data mining research. The Web mining research is at the cross road of research from …

Purpose The aim of this work is to increase awareness of the potential of the technique of
text mining to discover knowledge and further promote research collaboration between …

Web 2.0 provides gathering places for Internet users in blogs, forums, and chat rooms.
These gathering places leave footprints in the form of colossal amounts of data regarding …

We present a new keyword extraction algorithm that applies to a single document without
using a corpus. Frequent terms are extracted first, then a set of co-occurrences between …

In this paper, we propose an unsupervised method for discovering inference rules from text,
such as" X is author of Y≈ X wrote Y"," X solved Y≈ X found a solution to Y", and" X caused …

One of the main challenges in question-answering is the potential mismatch between the
expressions in questions and the expressions in texts. While humans appear to use …

We explore the use of big data tools to shed new light on the idea generation process,
automatically “read” ideas to identify promising ones, and help people be more creative. The …

This paper is aimed at examining the role of annual reports' sentiment in forecasting
financial performance. The sentiment (tone, opinion) is assessed using several …

The business intelligence (BI) market has grown at a tremendous rate in the past decade
due to technological advancements, big data and the availability of open source content …