WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 12, 2015
MiKe: Algorithm for Mining Keyphrases
Authors: Vinothini Kasinathan, Aida Mustapha, Chan Kin Mun
Abstract: The main challenge in mining from presentation slides lies in the fact that slides already contain keywords and keyphrases. A presentation mining system needs a keyphrase extraction algorithm that is able to mine the keywords/keyphrases in the slides and reorganize them from sequential to network-based while keeping the relationships within slides intact. This paper introduces a new keyphrase extraction algorithm called MiKe that extracts keyphrases from a collection of presentation slides and reconstruct the keyphrases into mind map-like visualization output. The descriptions include application of MiKe to a case study that illustrates the flow of MiKe in a presentation mining system.
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Keywords: Keyphrase extraction, Knowledge visualization, Text mining, Powerpoint slide, Mind map
Pages: 241-253
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 12, 2015, Art. #24