In order to be able to analyse and process large data volumes, the St. Pölten University of Applied Sciences and the “Schreib- und Wissenschaftsberatung Dr. Markus Rheindorf” (writing and science consultation Dr. Markus Rheindorf) have tested and further developed a procedure that helps to improve the visual presentation of text contents and the relationship between them.
This could be used in linguistics and for scientifically sound writing consulting services.
Big Data in Linguistics
Visualisations of information in texts facilitate the analysis of the content and help to clarify the structure of a text. Researchers can use these procedures, for example, to examine and compare the content-related and logical-argumentative structures of large text volumes.
The “Schreib- und Wissenschaftsberatung Dr. Markus Rheindorf“ is a consulting company that assists scientists in the writing of scientific texts by applying innovative text analysis methods. Researchers of the St. Pölten UAS have now counselled the company on the state of the art in visualisation procedures, carefully examined existing methods for visual processing, and improved them in a target-oriented manner.
“When it comes to linguistic analysis, the visualisation of text content is an innovative step towards Big Data. The analysis of large data volumes and their clear presentation are becoming increasingly important in this area as well. Linguistics is evolving towards the computer-assisted analyses of larger data volumes”, explains Alexander Rind, researcher at the Institute of Creative\Media/Technologies of the St. Pölten UAS.
“Traditional visualisations are confusing when it comes to dense networks. Our work has allowed us to make the content more understandable”, says Rind. The “Schreib- und Wissenschaftsberatung Dr. Markus Rheindorf“ offers analyses of texts from research projects, technical publications, project reports, documentations and presentations. Thanks to our joint project, the company has been able to improve the graphic processing of text characteristics at different levels.
“The computer-assisted approach enables us to create visualisations in a fast and precise manner and to use them efficiently in analyses and presentations”, explains Markus Rheindorf.
Data Analytics & Visual Computing as a Focus Area of the St. Pölten UAS
The research focus Data Analytics and Visual Computing at the St. Pölten UAS develops methods to discover and clearly visualise useful information contained in large volumes of complex data. To do this, researchers use methods of automatic data analysis, machine learning and artificial intelligence.
In the field of Visual Computing, the focus is on generating and processing image information: data visualisation turns numbers into images. It makes complex information easily accessible for people, allows for new insights and promotes knowledge. “Visual Analytics combines the visual perception and the judgement of people with the strengths of computers’ automatic data analysis”, says Rind.
The project SchreibCoachVis was subsidised by the Austrian Research Promotion Agency (FFG) within the framework of an innovation check.