Vinothini Kasinathan, Aida Mustapha, Chan Kin Mun, "MiKe: Algorithm for Mining Keyphrases," WSEAS Transactions on Information Science and Applications, vol. 12, pp. 241-253, 2015, DOI:
Vinothini Kasinathan, Aida Mustapha, Chan Kin Mun. MiKe: Algorithm for Mining Keyphrases.
WSEAS Transactions on Information Science and Applications. 2015;12:241-253.
WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 12, 2015
MiKe: Algorithm for Mining Keyphrases
Authors: , ,
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.
Pages: 241-253 WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 12, 2015, Art. #24 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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