Thesis Details
Automatické hledání vazeb mezi částmi audiovizuálních dokumentů
This paper deals with topic detection. Specifically link detection - finding similarities amongst a group of short documents according to their topic and story segmentation - finding borders between two topically different parts in a large document. The main motivation for research was practical application with the use of presentation materials from lectures at FIT (linking parts of different lectures and courses). The solution of link detection is achieved by text and word analysis, which includes learning the meaning and importance of each word. Story segmentation uses this while searching for the boundaries. Both parts of the problem (link detection, story segmentation) gave great results while testing with a standard dataset (world news reports). During evaluation of lecture processing the success rate was lower, but still good.
topic detection, link detection, story segmentation, natural language processing, lecture processing
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Kotásek Zdeněk, doc. Ing., CSc. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT17713, author = "Marek Sychra", type = "Bachelor's thesis", title = "Automatick\'{e} hled\'{a}n\'{i} vazeb mezi \v{c}\'{a}stmi audiovizu\'{a}ln\'{i}ch dokument\r{u}", school = "Brno University of Technology, Faculty of Information Technology", year = 2015, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/17713/" }