Microblog topic detection based on LDA model and single-pass clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7413 LNAI, Issue , 2012, Pages 166-171

  Huang, Bo ^a,b   Yang, Yan ^a,b   Mahmood, Amjad ^a,b   Wang, Hongjun ^a,b  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b Southwest Jiaotong University and Key Lab of Cloud Computing and Intelligent Technology   (China)

Author keywords

LDA model; Microblog; Single pass clustering; Topic detection

Indexed keywords

ROUGH SET THEORY; STATISTICS;

LATENT DIRICHLET ALLOCATIONS; LDA MODELS; MICRO-BLOG; MICROBLOGGING; REAL-TIME WEBS; SINGLE-PASS CLUSTERING; TEXT MINING TECHNIQUES; TOPIC DETECTION;

DATA MINING;

EID: 85012215194     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32115-3_19     Document Type: Conference Paper

References (10)

1. Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing. Communications of the ACM 18, 613–620 (1995)
2. Yang, Y., Pierce, T., Carbonell, J.: A study on Retro-spective and On-Line Event detection. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, USA, pp. 28–36 (1998)
3. Trieschnigg, D., Kraaij, W.: TNO hierarchical topic detection report at TDT 2004. In: The 7th Topic Detection and Tracking Conf. (2004)
4. Papka, R., Allan, J.: On Line New Event Detection using Single Pass Clustering. UMass Computer Science (1998)
5. Cataldi, L., Caro, D., Schifanella, C.: Emerging Topic Detection on Twitter based on Temporal and Social Terms Evaluation. In: MDMKDD 2010 Proceedings of the Tenth International Workshop on Multimedia Data Mining, Washington, pp. 1–10 (2010)
6. Phuvipadawat, S., Murata, T.: Breaking News Detection and Tracking in Twitter. In: 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Toronto, pp. 120–123 (2010)
7. Blei, D., Ng, A., Jordan, M., et al.: Latent dirichlet allocation. Journal of Machine Learning Research 3, 993–1022 (2003)
8. Stuart, G., Donald, G.: Stochastic relaxation gibbs distributions and the bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence 6, 7212–7411 (1984)
9. Griffiths, T.L., Steyvers, M.: Finding scientific topics. Proceedings of the National Academy of Science 101, 5228–5235 (2004)
10. The Linguistic Data Consortium.: The 2004 Topic Detection and Tracking. Task Definition and Evaluation Plan (2004), http://www.itl.nist.gov/iad/mig/tests/tdt/2004/TDT04.Eval.Plan.v1.2.compare.1.1c