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Erschienen in:
Social Network Analysis: History, Concepts, and Research Kapitel lesen Erstes Kapitel lesen

2010 | OriginalPaper | Buchkapitel

13. Concept Discovery in Youtube.com Using Factorization Method

verfasst von : Janice Kwan-Wai Leung, Chun Hung Li

Erschienen in: Handbook of Social Network Technologies and Applications

Verlag: Springer US

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Abstract

Social media are not limited to text but also multimedia. Dailymotion, YouTube, and MySpace are examples of successful sites which allow users to share videos and interact among themselves. Due to the huge amount of videos, categorizing videos with similar contents can help users to search videos more efficiently. Unlike the traditional approach to group videos into some predefined categories, we propose to facilitate video searching with clustering from comment-based matrix factorization and to improve indexing via the generation of new concept words. Factorized component entropies are introduced for handling the difficult problem of vocabulary construction for concept discovery in social media. Since the categorization is learnt from users feedback, it can accurately represent the user sentiment on the videos. Experiments conducted by using empirical data collected from YouTube shows the effectiveness of our proposed methodologies.

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Vorheriges Kapitel Detecting Communities in Social Networks
Nächstes Kapitel Mining Regional Representative Photos from Consumer-Generated Geotagged Photos
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Metadaten
Titel
Concept Discovery in Youtube.com Using Factorization Method
verfasst von
Janice Kwan-Wai Leung
Chun Hung Li
Copyright-Jahr
2010
Verlag
Springer US
Buch
Handbook of Social Network Technologies and Applications

Print ISBN: 978-1-4419-7141-8

Electronic ISBN: 978-1-4419-7142-5

Copyright-Jahr: 2010

DOI
https://doi.org/10.1007/978-1-4419-7142-5_13

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