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http://dx.doi.org/10.17661/jkiiect.2018.11.5.467

Automatic Meeting Summary System using Enhanced TextRank Algorithm  

Bae, Young-Jun (Department of Computer Software Engineering, Kumoh National Institute of Technology)
Jang, Ho-Taek (Department of Computer Software Engineering, Kumoh National Institute of Technology)
Hong, Tae-Won (Department of Computer Software Engineering, Kumoh National Institute of Technology)
Lee, Hae-Yeoun (Department of Computer Software Engineering, Kumoh National Institute of Technology)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.5, 2018 , pp. 467-474 More about this Journal
Abstract
To organize and document the contents of meetings and discussions is very important in various tasks. However, in the past, people had to manually organize the contents themselves. In this paper, we describe the development of a system that generates the meeting minutes automatically using the TextRank algorithm. The proposed system records all the utterances of the speaker in real time and calculates the similarity based on the appearance frequency of the sentences. Then, to create the meeting minutes, it extracts important words or phrases through a non-supervised learning algorithm for finding the relation between the sentences in the document data. Especially, we improved the performance by introducing the keyword weighting technique for the TextRank algorithm which reconfigured the PageRank algorithm to fit words and sentences.
Keywords
Automatic Meeting Summary; Naver CSR; TextRank Algorithm; TF-IDF Model; Weight Adjustments;
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