Abstract
Finding key sentences or paragraphs from a document is an important and challenging problem. In recent years, the amount of text data has grown astronomically and this growth has produced a great demand for text summarization. In the present study, we propose a new text summarization process by text mining and social network methods.
| Original language | English |
|---|---|
| Title of host publication | Current Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Proceedings |
| Editors | Chang-Hwan Lee, Yongdai Kim, Young Sig Kwon, Juntae Kim, Moonis Ali |
| Publisher | Springer Verlag |
| Pages | 285-292 |
| Number of pages | 8 |
| ISBN (Print) | 9783319190655 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015 - Seoul, Korea, Republic of Duration: 2015 Jun 10 → 2015 Jun 12 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 9101 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 15/6/10 → 15/6/12 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2015.
Keywords
- Centrality degree
- Social network
- Text mining
- Text summarization
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science