PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Text mining in action
Dunja Mladenić
In: 29th Annual Conference of the German Classification Society, March 9-11 2005, Magdeburg, Germany.

Abstract

Text mining methods have being successfully used on different problems, where text data is involved. Some Text mining approaches are capable of handling text just relying on statistics such as, frequency of words or phrases, while others assume availability of additional resources such as, natural language processing tools for the language in which the text is written; availability of lexicons; ontologies of concepts; aligned corpus in several languages; additional data sources such as, links between the text units or other non-textual data. This paper aims at illustrating potential of Text mining by presenting several approaches having some of the listed properties. For this purpose, we present research applications that were developed mainly inside European projects in collaboration with end-users and, research prototypes that do not necessary involve end-users.

EPrint Type:Conference or Workshop Item (Invited Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:1421
Deposited By:Dunja Mladenić
Deposited On:28 November 2005