Project leader
George Kampis, PhD, DSc


University Press Ltd.
Team leader: George Kampis, PhD, DSc

György Fábri, PhD, CSc

László Gulyás, PhD

Sándor Soós, PhD

Balázs Bálint, MSc

Zalán Szakolczi, BSc

Zoltán Szászi, BSc

HCCI Research Institute of Economics and Enterprises
Team leader: István János Tóth, PhD

Ágnes Czibik, MSc
Ágnes Makó, MSc
Tamás Uhrin, MSc

Zoltán Várhalmi, MSc

Glia Computer Consulting Ltd.
Team leader: Attila Bencsik,_MSc

Rita Ádám, MSc

Henriett Bagi, BSc

István Gráf, MSc

Computer and Automation Research Institute of the Hungarian Academy of Sciences
Team leader: András Benczúr, PhD

Eötvös Lóránd University
Team leader: Tamás Vicsek, member of the Hungarian Academy of Sciences

Dániel Ábel, MSc
András Barta, PhD

Krisztina Botos, MSc

Illés Farkas, PhD
Máté Nagy, MSc
Péter Pollner, PhD
Katharina A. Zweig, PhD

University of Szeged
Team leader: János Csirik, PhD, DSc

Gábor Berend, MSc

Richárd Farkas , PhD

Márk Jelasity, PhD

István Nagy


The TexTrend project has finished on December 31, 2011. For subsequent exploitation, as well as newer versions, consult the partner pages. This page will be available for 5 years in a frozen form.


TEXTREND: Development of a business and governmental decision support toolbox using trend- and text-analysis tools

The two interconnected objectives of the TEXTrend project are (1) the creation of an integrated TEXTrend toolkit and service basis, and (2) the elaboration of demonstrative applications in varied fields of business and governmental decisions, exemplified by use cases.


The goal of TEXTrend platform is the in-depth analysis of dynamic information on the web for science or business. In contrast to the usual extracting or indexing services, this toolkit aims at retrieving an essentially new type of information from the data volumes accessible on the web. An example is trend analysis, the aim of which is to determine or predict the characteristics of public opinion and its changes with time on the basis of massive amounts of documents (blogs, articles, etc.). Another example is the exploration of latent social structures by automatic text processing, network algorithms and visualisation, such as the extraction of a power-and-impact network of a field.


As of December 11. 2011, the core TEXTrend toolkit (TT/CIShell) exists in version v1.0, free to download and use. TEXTrend integrates UIMA (for preprocessing and NLP), WEKA(classification), R (statistical analysis), Cytoscape (network visualization), Cfinder(clique analysis) and several other components. For a documentation chech back later or consult us.

TEXTrend is based on an OSGi approach, using the CIShell framework developed by Borner's team at the Cyberinfrastructure for Network Science Center, Indiana
University, USA.

The frozen version of the TEXTrend toolkit (TTv.1.0) as well as its separate (OSGi compatible) modules (bundles) can be downloaded form the Downloads Section of this home page.