Hierarchical multi-label classification of social text streams

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2014, Pages 213-222

  Ren, Zhaochun ^a   Peetz, Maria Hendrike ^a   Liang, Shangsong ^a   Van Dolen, Willemijn ^b   De Rijke, Maarten ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b Business School   (Netherlands)

Author keywords

Structural SVM; Topic modeling; Tweet classification; Twitter

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL; PROBABILITY DISTRIBUTIONS; TEXT PROCESSING;

CORE INGREDIENTS; DOCUMENT EXPANSIONS; HIERARCHICAL MULTI-LABEL CLASSIFICATIONS; PROBABILISTIC DISTRIBUTION; STRUCTURAL LEARNING; STRUCTURAL SVM; TOPIC MODELING; TWITTER;

INFORMATION RETRIEVAL SYSTEMS;

EID: 84904539634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2600428.2609561     Document Type: Conference Paper

References (46)

1. B. Albert, G. Joao, P. Mykola, and Z. Indre. Handling concept drift: importance challenges and solutions. In PAKDD, 2011.
2. E. Amigó, A. Corujo, J. Gonzalo, E. Meij, and M. de Rijke. Overview of RepLab 2012: Evaluating online reputation management systems. In CLEF, 2012.
3. Z. Barutcuoglu, R. Schapire, and O. Troyanskaya. Hierarchical multi-label prediction of gene function. Bioinformatics, 2006.
4. W. Bi and J. T. Kwok. Multi-label classification on tree-and dag-structured hierarchies. In ICML, 2011.
5. D. Blei and J. Lafferty. Dynamic topic models. In ICML, 2006.
6. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. JMLR, 2003.
7. H. Blockeel, L. Schietgat, and J. Struyf. Decision trees for hierarchical multilabel classification. In ECML, 2006.
8. D. Bollegala, Y. Matsuo, and M. Ishizuka. Measuring semantic similarity between words using web search engines. WWW, 2007.
9. S. Carter, W. Weerkamp, and M. Tsagkias. Microblog language identification: Overcoming the limitations of short, unedited and idiomatic text. LREC, 2013.
10. N. Cesa-Bianchi, C. Gentile, and L. Zaniboni. Incremental algorithms for hierarchical classification. JMLR, 2006.
11. W. Chan, W. Yang, J. Tang, J. Du, X. Zhou, and W. Wang. Community question topic categorization via hierarchical kernelized classification. In CIKM, 2013.
12. J. Chen and D. Warren. Cost-sensitive learning for large-scale hierarchical classification of commercial products. In CIKM, 2013.
13. M. Chen, X. Jin, and D. Shen. Short text classification improved by learning multi-granularity topics. In IJCAI, 2011.
14. A. Clare. Machine Learning and Data Mining for Yeast Functional Genomics. PhD thesis, University of Wales, 2003.
15. G. Erkan and D. R. Radev. Lexrank: Graph-based lexical centrality as salience in text summarization. J. Artif. Intell., 2004.
16. T. Finley and T. Joachims. Training structural svms when exact inference is intractable. In ICML, 2008.
17. G. P. C. Fung, J. X. Yu, and H. Lu. Classifying text streams in the presence of concept drifting. In PAKDD, 2004.
18. Y. Guo and S. Gu. Multi-label classification using conditional dependency networks. In IJCAI, 2011.
19. D. Koller and M. Sahami. Hierarchically classifying documents using very few words. In ICML, 1997.
20. X. Kong, B. Cao, and P. S. Yu. Multi-label classification by mining label and instance correlations from heterogeneous information networks. In KDD, 2013.
21. G. Lebanon and Y. Zhao. Local likelihood modeling of temporal text streams. In ICML, 2008.
22. L. Li, K. Zhou, G.-R. Xue, H. Zha, and Y. Yu. Enhancing diversity, coverage and balance for summarization through structure learning. In WWW, 2009.
23. L. Li, K. Zhou, G.-R. Xue, H. Zha, and Y. Yu. Video summarization via transferrable structured learning. In WWW, 2011.
24. J. S. Liu. The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem. JASA, 1994.
25. S. Liu, S. Wang, F. Zhu, J. Zhang, and R. Krishnan. Hydra: Large-scale social identity linkage via heterogeneous behavior modeling. In SIGMOD, 2014.
26. G. Long, L. Chen, X. Zhu, and C. Zhang. Tcsst: transfer classification of short & sparse text using external data. In CIKM, 2012.
27. E. Meij, W. Weerkamp, and M. de Rijke. Adding semantics to microblog posts. In WSDM 2012, 2012.
28. K. Nishida, R. Banno, K. Fujimura, and T. Hoshide. Tweet classification by data compression. In DETECT, 2011.
29. K. Nishida, T. Hoshide, and K. Fujimura. Improving tweet stream classification by detecting changes in word probability. In SIGIR, 2012.
30. D. Odijk, E. Meij, and M. de Rijke. Feeding the second screen: Semantic linking based on subtitles. In OAIR, 2013.
31. J. Petterson and T. S. Caetano. Submodular multi-label learning. In NIPS, 2011.
32. X.-H. Phan, L.-M. Nguyen, and S. Horiguchi. Learning to classify short and sparse text & web with hidden topics from large-scale data collections. In WWW, 2008.
33. Z. Ren, S. Liang, E. Meij, and M. de Rijke. Personalized time-aware tweets summarization. In SIGIR, 2013.
34. J. Rousu, S. Saunders, S. Szedmak, and J. Shawe-Taylor. Kernel-based learning of hierarchical multilabel classification models. Mach. Learn., 2006.
35. S. Sarawagi and R. Gupta. Accurate max-margin training for structured output spaces. In ICML, 2008.
36. S. Shalev-Shwartz and Y. Singer. Efficient learning of label ranking by soft projections onto polyhedra. JMLR, 2006.
37. B. Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M. Demirbas. Short text classification in twitter to improve information filtering. In SIGIR, 2010.
38. A. Sun. Short text classification using very few words. In SIGIR, 2012.
39. N. A. Syed, H. Liu, and K. K. Sung. Handling concept drifts in incremental learning with support vector machines. In KDD, 1999.
40. L. Tang, S. Rajan, and V. K. Narayanan. Large-scale mutli-label classification via metalabeler. In WWW, 2009.
41. I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. JMLR, 2005.
42. C. Vens, J. Struyf, L. Schietgat, S. Džeroski, and H. Blockeel. Decision trees for hierarchical multi-label classification. JMLR, 2008.
43. X. Wan and J. Yang. Multi-document summarization using cluster-based link analysis. In SIGIR, 2008.
44. W.-T. Yih and C. Meek. Improving similarity measures for short segments of text. In AAAI, 2007.
45. Y. Yue and T. Joachims. Predicting diverse subsets using structural SVMs. In ICML, 2008.
46. S. Zhang, X. Jin, D. Shen, B. Cao, X. Ding, and X. Zhang. Short text classification by detecting information path. In CIKM, 2013.