Visualized technique for trend analysis of news articles

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

Volumn 5027 LNAI, Issue , 2008, Pages 659-668

  Terachi, Masahiro ^a   Saga, Ryosuke ^a   Sheng, Zhongqi ^a,b   Tsuji, Hiroshi ^a  

^a Osaka Prefecture University   (Japan)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

Co occurrence Graph; Text Mining; TF IDF; Trend Analysis; Visualized Technique

Indexed keywords

ARTIFICIAL INTELLIGENCE; GRAPH THEORY; INDUSTRIAL ECONOMICS; INTELLIGENT CONTROL; TECHNOLOGY;

CO-OCCURRENCE; CO-OCCURRENCE GRAPH; INTERNATIONAL CONFERENCES; NEWS ARTICLES; NEWSPAPER ARTICLES; TEXT DATA; TEXT MINING; TF-IDF; TRANSITION PATTERNS; TREND ANALYSIS; VISUALIZED TECHNIQUE;

INTELLIGENT SYSTEMS;

EID: 48249121934     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69052-8_69     Document Type: Conference Paper

References (11)

1. Yamamoto, H., Ohmi, S., Tsuji, H.: Entropy-based Indexing Term Selection for N-gram Text Search System. In: IEEE International Conference on Systems, Man & Cybernetics, pp. 4852-4857 (2003)
2. Kageyama, A., Tsuji, H.: Web-based Characteristics Analysis for Industrial Departments in Universities. World Multi-conference on Systemics, Cybernetics and Informatics 10, 23-28 (2004)
3. Yamada, K., Komine, H., Kinukawa, H., Nakagawa, H.: Abstract of Abstract: A New Summarizing Method based on Document Frequency and Clause Length. In: The 8th World Multi-Conference on Systemics, Cybernetics and Informatics, Orland (2004)
4. Matsuo, Y., Ishizuka, M.: Keyword Extraction from a Document using Word Cooccurrence Statistical Information. JASI Journal 17(3), 217-223 (2002)
5. Lent, B., Agrawal, R., Srikant, R.: Discovering Trends in Text Databases. In: Proc. 3rd Int. Conf. On Knowledge Discovery and Data Mining (1997)
6. Havre, S., Hetzler, B., Nowell, L.: ThemeRiver: In Search of Trends, Patterns, and Relationships. IEEE Transactionson on Visualization and Computer Graphics 8, 9-20 (2002)
7. Feldman, R., Aumann, Y., Zilberstein, A., Ben-Yehuda, Y.: Trend Graphs: Visualizing the Evolution of Concept Relationships in Large Document Collections. In: Zytkow, J.M. (ed.) PKDD 1998. LNCS, vol. 1510, pp. 38-46. Springer, Heidelberg (1998)
8. Salton, G., Yang, C.S.: On the Specification of Term Values in Automatic Indexing. Journal of Documentation 29(4), 351-372 (1973)
9. Terachi, M., Saga, R., Tsuji, H.: Trends Recognition in Journal Papers by Text Mining. In: IEEE International Conference on Systems, Man & Cybernetics, pp. 4784-4789 (2006)
10. Ohsawa, Y., Benson, N.E., Yachida, M.: KeyGraph: Automatic Indexing by Cooccurrence Graph based on Building Construction Metaphor. In: Proc. Advanced Digital Library Conference, pp. 12-18 (1998)
11. Oguma, J., Utsumi, A.: Document clustering that uses co-occurrence information on word. JSAI 19(1), 153-155 (2005)