Classification of Bloggers Using Social Annotations

Sakurai, S.; Tsutsui, Hideki; Orihara, Ryohei

doi:10.1109/aina.2009.40

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…Noll et al [16] systematically have analyzed exploring social tags for web document classification. Sakurai et al [17] have proposed a method that classifies bloggers using social tags. Yin et al [18] have explored social tags for web object classification and validated that the exploration of social tags effectively boosts web object classification.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Academic Conference Classification Using Social Tags

Jing

Wen

et al. 2010

2010 13th IEEE International Conference on Computational Science and Engineering

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Abstract-Automatically classifying academic conference into semantic topic promises improved academic search and browsing for users. Social tagging is an increasingly popular way of describing the topic of academic conference. However, no attention has been devoted to academic conference classification by making use of social tags. Motivated by this observation, this paper proposes a method which utilizes social tags as well as the content of academic conference in order to improve automatically identifying academic conference classification. The proposed method applies different automatic classification algorithms to improve classification quality by using social tags. Experimental results show that this method mentioned above performs better than the method which only utilizes the content to classify academic conference with 1% Precision measure score increase and 1.64% F1 measure score increase, which demonstrates the effectiveness of the proposed method.

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Section: Related Workmentioning

confidence: 99%