AbstractsComputer Science

Multidimensional Visualization of News Articles; Flerdimensionel Visualisering av Nyhetsartiklar

by Richard Åklint

Institution: Linköping University
Year: 2015
Keywords: Visualization; TFIDF; Octree; Keywords Extractor; News Articles; Data Abstraction; Big Data; Engineering and Technology; Electrical Engineering, Electronic Engineering, Information Engineering; Computer Systems; Teknik och teknologier; Elektroteknik och elektronik; Datorsystem; Examensarbete i Informationskodning; Information Coding; Examensarbete i Informationskodning; Information Coding
Record ID: 1370758
Full text PDF: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118707


Large data sets are difficult to visualize. For a human to find structures and understand the data, good visualization tools are required. In this project a technique will be developed that makes it possible for a user to look at complex data at different scales. This technique is obvious when viewing geographical data where zooming in and out gives a good feeling for the spatial relationships in map data or satellite images. However, for other types of data it is not obvious how much scaling should be done. In this project, an experimental application is developed that visualizes data in multiple dimensions from a large news article database. Using this experimental application, the user can select multiple keywords on different axis and then can create a visualization containing news articles with those keywords. The user is able to move around the visualization. If the camera is far away from the document icons then they are clustered using red coloured spheres. If the user moves the camera closer to the clusters they will pop up into single document icons. If the camera is very close to the document icons it is possible to read the news articles