Full metadata
Title
Leveraging collective wisdom in a multilabeled blog categorization environment
Description
One of the most remarkable outcomes resulting from the evolution of the web into Web 2.0, has been the propelling of blogging into a widely adopted and globally accepted phenomenon. While the unprecedented growth of the Blogosphere has added diversity and enriched the media, it has also added complexity. To cope with the relentless expansion, many enthusiastic bloggers have embarked on voluntarily writing, tagging, labeling, and cataloguing their posts in hopes of reaching the widest possible audience. Unbeknown to them, this reaching-for-others process triggers the generation of a new kind of collective wisdom, a result of shared collaboration, and the exchange of ideas, purpose, and objectives, through the formation of associations, links, and relations. Mastering an understanding of the Blogosphere can greatly help facilitate the needs of the ever growing number of these users, as well as producers, service providers, and advertisers into facilitation of the categorization and navigation of this vast environment. This work explores a novel method to leverage the collective wisdom from the infused label space for blog search and discovery. The work demonstrates that the wisdom space can provide a most unique and desirable framework to which to discover the highly sought after background information that could aid in the building of classifiers. This work incorporates this insight into the construction of a better clustering of blogs which boosts the performance of classifiers for identifying more relevant labels for blogs, and offers a mechanism that can be incorporated into replacing spurious labels and mislabels in a multi-labeled space.
Date Created
2015
Contributors
- Galan, Magdiel F (Author)
- Liu, Huan (Thesis advisor)
- Davulcu, Hasan (Committee member)
- Ye, Jieping (Committee member)
- Li, Baoxin (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
viii, 104 pages : illustrations (some color)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.34867
Statement of Responsibility
by Magdiel F. Galan
Description Source
Viewed on September 17, 2015
Level of coding
full
Note
thesis
Partial requirement for: Ph. D., Arizona State University, 2015
bibliography
Includes bibliographical references (pages 99-104)
Field of study: Computer science
System Created
- 2015-08-17 11:55:02
System Modified
- 2021-08-30 01:27:20
- 3 years 2 months ago
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