A probabilistic method for emerging topic tracking in Microblog stream

Springer Science and Business Media LLC - Tập 20 Số 2 - Trang 325-350 - 2017
Jie Huang1, Min Peng2, Hua Wang3, Tru H. Cao4, Wang Gao1, Xiuzhen Zhang5
1State Key Lab of Software Engineering, Wuhan University, Wuhan, China
2State Key Lab. of Software Engineering. Wuhan University, Wuhan 430072, China
3Centre for Applied Informatics, Victoria University, Melbourne, Australia
4Computer Science and Computer Engineering, La Trobe University, Bundoora, Australia
5School of CS&IT, RMIT University, Melbourne, Australia

Tóm tắt

Từ khóa


Tài liệu tham khảo

Agichtein, E., Castillo, C., Donato, D., Gionis, A., Mishne, G.: Finding high-quality content in social media. In: WSDM, pp. 183–194 (2008)

AlSumait, L., Barbar, D., Domeniconi, C.: On-line lda: Adaptive topic models for mining text streams with applications to topic detection and tracking. In: ICDM, pp 3–12 (2008)

Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: ICML, pp. 113–120 (2006)

Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. JMLR 3, 993–1022 (2003)

Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. FTML3(1), 1–122 (2011)

Cai, H., Huang, Z., Srivastava, D., Zhang, Q.: Indexing evolving events from tweet streams. TKDE 27(11), 3001–3015 (2015)

Chen, Y., Amiri, H., Li, Z., Chua, T.S.: Emerging topic detection for organizations from microblogs. In: SIGIR, pp. 43–52 (2013)

Chen, Z., Liu, B.: Mining topics in documents: Standing on the shoulders of big data. In: SIGKDD, pp. 1116–1125 (2014)

Cheng, X., Yan, X., Lan, Y., Guo, J.: BTM: Topic model over short texts. TKDE 26(12), 2928–2941 (2014)

Diao, Q., Jiang, J., Zhu, F., Lim, E.P.: Finding bursty topics from microblogs. In: ACL, pp. 536–544 (2012)

Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proc. Natl. Acad. Sci 101, 5228–5235 (2004)

Hofmann, T.: Probabilistic latent semantic indexing. In: SIGIR, pp. 50–57 (1999)

Huang, J., Peng, M., Wang, H.: Topic detection from large scale of microblog stream with high utility pattern clustering. In: Proceedings of the 8th Workshop on Ph. D. Workshop in CIKM, pp. 3–10 (2015)

Iwata, T., Watanabe, S., Yamada, T., Ueda, N.: Topic tracking model for analyzing consumer purchase behavior. In: IJCAI, pp. 1427–1432 (2009)

Jeffery, S.R., Garofalakis, M., Franklin, M.J.: Adaptive cleaning for RFID data streams. In: VLDB, pp. 163–174 (2006)

Kasiviswanathan, S.P., Melville, P., Banerjee, A., Sindhwani, V.: Emerging topic detection using dictionary learning. In: CIKM, pp. 745–754 (2011)

Lau, J.H., Collier, N., Baldwin, T.: On-line trend analysis with topic models: Twitter trends detection topic model online. In: COLING, pp. 1519–1534 (2012)

Li, C., Sun, A., Datta, A.: Twevent: segment-based event detection from tweets. In: CIKM, pp. 155–164 (2012)

Lin, T., Tian, W., Mei, Q., Cheng, H.: The dual-sparse topic model: mining focused topics and focused terms in short text. In: WWW, pp. 539–550 (2014)

Ma, J., Sun, L., Wang, H., Zhang, Y., Aickelin, U.: Supervised anomaly detection in uncertain pseudoperiodic data streams. ACM Trans. Internet Technol. (TOIT) 16(1), 4 (2016)

McAuley, J., Leskovec, J.: Hidden factors and hidden topics: understanding rating dimensions with review text. In: Recommender Systems, pp 165–172 (2013)

Mimno, D., Wallach, H.M., Talley, E., Leenders, M., McCallum, A.: Optimizing semantic coherence in topic models. In: EMNLP, pp. 262–272 (2011)

Nallapati, R.M., Ditmore, S., Lafferty, J.D., Ung, K.: Multiscale topic tomography. In: SIGKDD, pp. 520–529 (2007)

Peng, M., Huang, J., Fu, H., Zhu, J., Zhou, L., He, Y., Li, F.: High quality microblog extraction based on multiple features fusion and time-frequency transformation. In: WISE, pp. 188–201 (2013)

Petrovi, S., Osborne, M., Lavrenko, V.: Streaming first story detection with application to Twitter. In: NAACL, pp. 181–189 (2010)

Pu, X., Jin, R., Wu, G., Han, D., Xue, G.: Topic modeling in semantic space with keywords. In: CIKM, pp. 1141–1150 (2015)

Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: Real-time event detection by social sensors. In: WWW, pp 851–860 (2010)

Schubert, E., Weiler, M., Kriegel, H.P.: Signitrend: Scalable detection of emerging topics in textual streams by hashed significance thresholds. In: SIGKDD, pp. 871–880 (2014)

Steinbach, M., Karypis, G., Kumar, V.: A comparison of document clustering techniques. In: KDD Workshop on text mining, pp. 525–526 (2000)

Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with Twitter: What 140 characters reveal about political sentiment. In: ICWSM, pp. 178–185 (2010)

Unankard, S., Li, X., Sharaf, M.A.: Emerging event detection in social networks with location sensitivity. JWWW 18(5), 1–25 (2014)

Wang, X., McCallum, A.: Topics over time: A non-Markov continuous-time model of topical trends. In: SIGKDD, pp. 424–433 (2006)

Weng, J., Lee, B.S.: Event detection in Twitter. In: ICWSM, pp 401–408 (2011)

Xie, W., Zhu, F., Jiang, J., Lim, E.P., Wang, K.: Topicsketch: real-time bursty topic detection from Twitter. In: ICDM, pp. 837–846 (2013)

Yan, X., Guo, J., Lan, Y., Xu, J., Cheng, X.: A probabilistic model for bursty topic discovery in microblogs. In: AAAI Conference on artificial intelligence, pp. 353–359 (2015)

Yang, X., Ghoting, A., Ruan, Y., Parthasarathy, S.: A framework for summarizing and analyzing Twitter feeds. In: SIGKDD, pp. 370–378 (2012)

Yao, W., He, J., Wang, H., Zhang, Y., Cao, J.: Collaborative topic ranking: Leveraging item Meta-Data for sparsity reduction. In: AAAI, pp. 374–380 (2015)

Yin, J., Wang, J.: A dirichlet multinomial mixture model-based approach for short text clustering. In: SIGKDD, pp. 233–242 (2014)

Yin, H., Cui, B., Lu, H., Huang, Y., Yao, J.: A unified model for stable and temporal topic detection from social media data. In: ICDE, pp. 661–672 (2013)

Zhang, H., Kim, G., Xing, E.P.: Dynamic topic modeling for monitoring market competition from online text and image data. In: SIGKDD, pp. 1425–1434 (2015)

Zhu, J., Xing, E.P.: Sparse topical coding. In: UAI, pp. 831–838 (2011)

Zhu, J., Peng, M., Huang, J., Qian, T., Huang, J., Liu, J., Hong, R., Liu, P.: Coherent topic hierarchy: A strategy for topic evolutionary analysis on microblog feeds. In: WAIM, pp. 70–82 (2015)