A discriminative model approach for suggesting tags automatically for stack overflow questions

IEEE International Working Conference on Mining Software Repositories

Volumn , Issue , 2013, Pages 73-76

  Saha, Avigit K ^a   Saha, Ripon K ^b   Schneider, Kevin A ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Automatic tagging; Discriminative model; Machine learning

Indexed keywords

AUTOMATIC TAGGING; DISCRIMINATIVE MODELS; STACK OVERFLOW;

LEARNING SYSTEMS; STATISTICAL TESTS;

USER INTERFACES;

EID: 84889032028     PISSN: 21601852     EISSN: 21601860     Source Type: Conference Proceeding    
DOI: 10.1109/MSR.2013.6624009     Document Type: Conference Paper

References (4)

1. A. Bacchelli, "Mining challenge 2013: Stack overflow," in The 10th Working Conference on Mining Software Repositories, 2013, p. to appear.
2. A. K. McCallum, "Mallet: A machine learning for language toolkit," 2002, http://mallet.cs.umass.edu.
3. J. Wang and B. D. Davison, "Explorations in tag suggestion and query expansion," in Proceedings of the 2008 ACM workshop on Search in social media, ser. SSM '08. New York, NY, USA: ACM, 2008, pp. 43-50. [Online]. Available: http://doi.acm.org/10.1145/1458583.1458592
4. T. Joachims, "Making large-scale svm learning practical." in Advances in Kernel Methods - Support Vector Learning. MIT Press, 1999, software available at http://svmlight.joachims.org/