Enriching folksonomy for online videos. (15th May 2019)

• Record Type: Journal Article
• Authors: Sakaji, Hiroki; Kohana, Masaki; Kobayashi, Akio; Sakai, Hiroyuki
• Is Part Of: International journal of grid and utility computing. Volume 10:Number 3(2019)
• Page Start: 258
• Page End: 264
• Publication Date: 2019-05-15
• Subjects: text mining -- distributed database -- information extraction; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

We propose a method that enriches folksonomy by using user comments on online videos. Folksonomy is a process in which users tag videos so that they can be searched for easily. On some videos, users can post tags and comments. A tag corresponds to folksonomy. One such online sharing website is Nico Nico Douga; however, users cannot post more than 12 tags on a video. Therefore, there are some important tags that could be posted but are sometimes not. We present a method for acquiring some of these missing tags by choosing new tags that score well in a scoring method developed by us. The method is based on information theory and a novel algorithm for estimating new tags by using distributed databases constructed by us.