Short-text classification based on ICA and LSA

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

Volumn 3972 LNCS, Issue , 2006, Pages 265-270

  Pu, Qiang ^a   Yang, Guo Wei ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); INDEPENDENT COMPONENT ANALYSIS; INFORMATION RETRIEVAL; PROGRAM PROCESSORS; SEMANTICS;

CLASSIFICATION EFFECTS; LATENT SEMANTIC ANALYSIS (LSA); PREPROCESSED DATA; WORD-SENSE DISAMBIGUATION;

TEXT PROCESSING;

EID: 33745888995     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760023_39     Document Type: Conference Paper

References (8)

1. Honkela, T., Hyvärinen, A.: Linguistic Feature Extraction Using Independent Component Analysis. Proc. Int. Joint Conf. on Neural Networks (IJCNN), Budapest, Hungary (2004)
2. Sevillano, X., Alías, F., Socoró, J.C.: Reliability in ICA-based Text Classification. Fifth International Conference, ICA 2004, Granada, Spain (2004) 1213-1220
3. Kolenda, T., Hansen, L.K.: Independent Components in Text. In: Advances in Neural Information Processing Systems, volume 13 (2000) 235-256
4. Manning, C.D., Schütze, H.: Foundations of Statistical Natural Language Processing. MIT Press, Cambridge, MA (1999)
5. Landauer, T.K., Foltz, P.W., Laham, D.: Introduction to Latent Semantic Analysis. Discourse Processes 25 (1998) 259-284
6. Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by Latent Semantic Analysis. Journal of the American Society of Information Science 41 (1990)391-407
7. Hyvärinen, A.: Survey on Independent Component Analysis. Neural Computing Surveys 2 (1999) 94-128
8. Isbell, C.L., Viola, P.: Restructuring Sparse High Dimensional Data for Effective Retrieval. In: Advances in Neural Information Processing Systems, Vol. 11 (1998) 480-486