By Dell Zhang, Karl Prior, Mark Levene, Robert Mao, Diederik van Liere (auth.), Shuigeng Zhou, Songmao Zhang, George Karypis (eds.)
This e-book constitutes the refereed complaints of the eighth overseas convention on complicated info Mining and purposes, ADMA 2012, held in Nanjing, China, in December 2012. The 32 ordinary papers and 32 brief papers provided during this quantity have been conscientiously reviewed and chosen from 168 submissions. they're geared up in topical sections named: social media mining; clustering; computing device studying: algorithms and purposes; type; prediction, regression and popularity; optimization and approximation; mining time sequence and streaming information; net mining and semantic research; information mining functions; seek and retrieval; details advice and hiding; outlier detection; subject modeling; and information dice computing.
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Additional info for Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings
Finally we present concluding remarks and future work in Section 6. 2 Related Work There are mainly two approaches for building sentiment lexicon. The ﬁrst direction is automatic learning sentiment lexicon from thesaurus. Hu et al. resorted to the synonym and antonym relationship in WordNet to predict the orientation of the candidate words . Kim and Hovy proposed two probabilistic models to estimate the strength of polarity . In their models, synonyms were used as features. Their basic hypothesis was that the synonyms had the same orientation and the antonyms had the opposite orientation.
Fundamental structural principles of Chinese semantic syntax in terms of Chinese Characters. Applied Linguistics 1, 3–13 (2001) (in Chinese) 14. : Cross-modal topic correlations for multimedia retrieval. To appear in ICPR (2012) 15. : A SIFT-LBP image retrieval model based on bag-of features. In: International Conference on Image Processing (ICIP), pp. 1061–1064 (2011) 16. : A topic model of observing Chinese characters. In: Proceedings of the International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), vol.
Examples of Chinese microblogs with emoticons From Fig 1 we can see that people tend to utilize emoticons to emphasize their emotion feelings. Since the microblogs have the length limitation, the sentiments expressed in the short text are usually consistent with the embedded emoticons. 1 we know that the microblog is a good labeled data source for sentiment lexicon learning. However, there are also noisy data embedded in them. To address these challenges, we design strategies to eliminate the noisy microblogs as many as possible.
Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings by Dell Zhang, Karl Prior, Mark Levene, Robert Mao, Diederik van Liere (auth.), Shuigeng Zhou, Songmao Zhang, George Karypis (eds.)