State of the Art, Evaluation and Recommendations regarding "Document Processing and Visualization Techniques"
Martin Rajman, Martin Vesely, Pierre Andrews

TL;DR
This paper provides a comprehensive survey of current document processing and visualization techniques within text mining, offering insights into the state-of-the-art, research gaps, and future technological directions.
Contribution
It presents a detailed overview of existing methods, identifies key research topics, and offers recommendations for future developments in document processing and visualization for text mining.
Findings
Current techniques are diverse and evolving
Identified key research gaps in visualization methods
Provided a roadmap for future research directions
Abstract
Several Networks of Excellence have been set up in the framework of the European FP5 research program. Among these Networks of Excellence, the NEMIS project focuses on the field of Text Mining. Within this field, document processing and visualization was identified as one of the key topics and the WG1 working group was created in the NEMIS project, to carry out a detailed survey of techniques associated with the text mining process and to identify the relevant research topics in related research areas. In this document we present the results of this comprehensive survey. The report includes a description of the current state-of-the-art and practice, a roadmap for follow-up research in the identified areas, and recommendations for anticipated technological development in the domain of text mining.
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Text Analysis Techniques · Web Data Mining and Analysis
