Abstract
Tags play a crucial role in CQA sites by facilitating organization, indexing and categorization of the entire post in a few words. The choice of tags determines the audience that is elicited upon to seek a response for any particular post. This could either lead to receiving an accurate response for the question or result in receiving no answers. The choice of tags, thus, directly determines the quality of the post as well as to a large extent the success of the CQA site itself. In this paper, we a present a novel approach to evaluate the choice of tags in any post. We perform tag network analysis to find relationship between tags. We then find the anomalous combination of tags by performing anomaly detection. We demonstrate the robustness of our approach by showing high AUC, in the range of 0.95 to 0.98, on four datasets from Stack Exchange, namely Ask Ubuntu, Server Fault, Super User and Software Engineering.
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References
Asaduzzaman, M., Mashiyat, A.S., Roy, C.K., Schneider, K.A.: Answering questions about unanswered questions of stack overflow. In: Proceedings of the 10th Working Conference on Mining Software Repositories, pp. 97–100 (2013)
Bazelli, B., Hindle, A., Stroulia, E.: On the personality traits of stackoverflow users. In: Proceedings of the 2013 IEEE International Conference on Software Maintenance, pp. 460–463 (2013)
Bhat, V., Gokhale, A., Jadhav, R., Pudipeddi, J., Akoglu, L.: Min(e)d your tags: analysis of question response time in stackoverflow. In: Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 328–335 (2014)
Jäschke, R., Marinho, L., Hotho, A., Schmidt-Thieme, L., Stumme, G.: Tag recommendations in folksonomies. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 506–514. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74976-9_52
Ju, S., Hwang, K.B.: A weighting scheme for tag recommendation in social bookmarking systems. In: Proceedings of the 2009th International Conference on ECML PKDD Discovery Challenge, vol. 497, pp. 109–118 (2009)
Krestel, R., Fankhauser, P., Nejdl, W.: Latent Dirichlet allocation for tag recommendation. In: Proceedings of the Third ACM Conference on Recommender Systems, pp. 61–68 (2009)
Lipczak, M., Milios, E.E.: Learning in efficient tag recommendation. In: RecSys (2010)
der Maaten, L.V.: Learning a parametric embedding by preserving local structure. In: AISTATS (2009)
Musto, C., Narducci, F., De Gemmis, M., Lops, P., Semeraro, G.: Star: a social tag recommender system. In: Proceedings of the 2009th International Conference on ECML PKDD Discovery Challenge, vol. 497, pp. 215–227 (2009)
Ponzanelli, L., Mocci, A., Bacchelli, A., Lanza, M., Fullerton, D.: Improving low quality stack overflow post detection. In: Proceedings of the 2014 IEEE International Conference on Software Maintenance and Evolution, pp. 541–544 (2014)
Rendle, S., Balby Marinho, L., Nanopoulos, A., Schmidt-Thieme, L.: Learning optimal ranking with tensor factorization for tag recommendation. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 727–736 (2009)
Rosvall, M., Axelsson, D., Bergstrom, C.T.: The map equation. Eur. Phys. J. Special Topics 178(1), 13–23 (2009)
Rosvall, M., Bergstrom, C.T.: An information-theoretic framework for resolving community structure in complex networks. Proc. Nat. Acad. Sci. 104(18), 7327–7331 (2007)
Sillito, J., Maurer, F., Nasehi, S.M., Burns, C.: What makes a good code example?: a study of programming q&a in stackoverflow. In: Proceedings of the 2012 IEEE International Conference on Software Maintenance (ICSM), pp. 25–34 (2012)
Slag, R., de Waard, M., Bacchelli, A.: One-day flies on stackoverflow: why the vast majority of stackoverflow users only posts once. In: Proceedings of the 12th Working Conference on Mining Software Repositories, pp. 458–461 (2015)
Symeonidis, P., Nanopoulos, A., Manolopoulos, Y.: Tag recommendations based on tensor dimensionality reduction. In: Proceedings of the 2008 ACM Conference on Recommender Systems, pp. 43–50 (2008)
Tatu, M., Srikanth, M., D’Silva, T.: RSDC 2008 : tag recommendations using bookmark content (2008)
Van Der Maaten, L., Postma, E., Van den Herik, J.: Dimensionality reduction: a comparative review. J. Mach. Learn. Res. 10, 66–71 (2009)
Van der Maaten, L., Hinton, G.: Visualizing high-dimensional data using t-sne. J. Mach. Learn. Res. 9, 2579–2605 (2008)
Yang, J., Tao, K., Bozzon, A., Houben, G.-J.: Sparrows and owls: characterisation of expert behaviour in stackoverflow. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, G.-J. (eds.) UMAP 2014. LNCS, vol. 8538, pp. 266–277. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-08786-3_23
Yang, Z., Algesheimer, R., Tessone, C.J.: A comparative analysis of community detection algorithms on artificial networks. Sci. Rep. 6 (2016)
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Banerjee, R., Rajanala, S., Singh, M. (2019). Evaluating the Choice of Tags in CQA Sites. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds) Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science(), vol 11446. Springer, Cham. https://doi.org/10.1007/978-3-030-18576-3_37
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