This paper presents Ellogon, a multi-lingual, cross-platform, general-purpose text engineering environment. Ellogon was designed in order to aid both researchers in natural langua...
Strategic intelligence involves the efforts to understand the "Big Picture" emerging from data sources. Concerning textual data, this process involves the extraction of m...
Yair Neuman, Liran Elihay, Meni Adler, Yoav Goldbe...
Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet challenging task in clinical environments. This is par...
Mobyen Uddin Ahmed, Shahina Begum, Peter Funk, Nin...
Text mining concerns the discovery of knowledge from unstructured textual data. One important task is the discovery of rules that relate specific words and phrases. Although exist...
The availability of a huge mass of textual data in electronic format has increased the need for fast and accurate techniques for textual data processing. Machine learning and stat...
XML (Extensible Markup Language) is a textual markup language designed for the creation of self-describing documents. Such documents contain textual data combined with structural ...
The paper presents the results of experiments of usage of LSA for analysis of textual data. The method is explained in brief and special attention is pointed on its potential for c...
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...
In today’s knowledge-intensive engineering environment, information management is an important and essential activity. However, existing researches of Engineering Information Man...
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
David G. Underhill, Luke McDowell, David J. Marche...