Real-time topics extraction and visualization in online discussions

Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Volumn 2, Issue , 2002, Pages 928-933

  Li, Yao Dong ^a   Zhou, Xiao Ji ^b   Cui, Xia ^a   Dai, Ru Wei ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b Department of System Engineering   (China)

Author keywords

Chat line; Data visualization; Dynamical text; Text analysis; Thesaurus; Workshop line

Indexed keywords

CONTENT BASED RETRIEVAL; DATA HANDLING; EXPERT SYSTEMS; FEATURE EXTRACTION; HIERARCHICAL SYSTEMS; ONLINE SYSTEMS; REAL TIME SYSTEMS; TEXT PROCESSING; USER INTERFACES; VISUALIZATION;

DATA VISUALIZATION; HIERARCHICALLY STRUCTURED THESAURUS; REAL TIME TOPIC EXTRACTION; WORKSHOP LINE;

LEARNING SYSTEMS;

EID: 0036930543     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Antunes P. On the Design of Group Decision Processes for Electronic Meeting Rooms. CLEI Electronic Journal, 2(1), 1999. http://www.di.fc.ul.pt/~paa/papers/clei-99.pdf.
2. Klicek B, Konjevod D I. Models of An Intelligent Web-Based Multimedia Mass-Group Decision Support System. Proceedings of 3rd CARNet Users Conference, 2001. www.carnet.hr/cuc/cuc2001/papers/b3.pdf
3. Qian X, Yu J, Dai R. A New Field of Science - Open Complex Giant System and Its Methodology. Zi Ran Magazine, 12(1): 3-10, 1990.
4. Bingham E, Kaban A, Girolami M. Finding topics in dynamical text: application to chat line discussions. Poster Proceedings of 10th International World Wide Web Conference, 2001, pp. 198-199.
5. Bingham E. Topic identification in dynamical text by extracting minimum complexity time components. Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, 2001, pp. 546-551.
6. Kolenda T, Hansen L K, Larsen J. Signal Detection using ICA: Application to Chat Room Topic Spotting. Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, 2001, pp. 540-545.
7. Madche A, Neumann G, Staab S. A Generic Architectural Framework for Text Knowledge Acquisition. Technical Report, 1999, http://www.dfki.de/~neumann/publications/new-ps/kaw.ps.gz
8. Rajman M, Besancon R. Text Mining - Knowledge extraction from unstructured textual data. Proceedings of 6th Conference of International Federation of Classification Societies, 1998, pp. 473-480.
9. Hhonen H, Heinonen O, Klemettinen M. et al. Applying Data Mining Techniques for Descriptive Phrase Extraction in Digital Document Collections. Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, 1998, pp. 2-11.
10. Witten I H. Adaptive Text Mining: Inferring Structure from Sequences. http://www.cs.waikato.ac.nz/~ihw/publications.html
11. Navarro D J, Lee M D. Spatial Visualisation of Document Similarity. Proceedings of the Defence Human Factors Special Interest Group Meeting, 2001, pp. 39-44.
12. Rovig M. Images of similarity: A visual exploration of optimal similarity metrics and scaling properties of TREC document sets. Journal of the American Society for Information Science, 1999, 50(8): 639-61.
13. Datatool.com. Data visualization toolbox for Matlab. http://www.datatool.com/Dataviz_home.htm