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Text Summarization for Information Retrieval using Pattern Recognition Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 21 - Number 10 |
| Year of Publication: 2011 |
| Authors: Pritam Singh Negi, M.M.S. Rauthan, H.S. Dhami |
10.5120/2618-3501
|
Pritam Singh Negi, M.M.S. Rauthan, H.S. Dhami . Text Summarization for Information Retrieval using Pattern Recognition Techniques. International Journal of Computer Applications. 21, 10 ( May 2011), 20-24. DOI=10.5120/2618-3501
Abstract
In the present work a model is proposed which is useful for text summarization of the given document by using pattern recognition techniques for improving the retrieval performance of the relevant information. The design and implementation of the proposed systems is concerned with methods for summarizing of the retrieving information from a collection of documents or corpuses. The quality of a system is measured by how useful it is to the typical users of the system. In the basic approach, a query is considered generated from an “ideal” document that satisfies the information need. The system’s job is then to estimate the likelihood of each document in the collection being the ideal document and rank them accordingly. The recent development of related techniques stimulates new modeling and estimation methods that are beyond the scope of the traditional approaches.
References
- Borlund, P. (2003). The concept of relevance in IR. Journal of the American Society for Information Science and Technology, 54(10), 913–925.
- Budd, J.M. (2004) Relevance: Language, semantics, philosophy. Library Trends, 52(3), 447–462.
- Mares, E. (1998). Relevance logic. In Stanford Encyclopedia of Philosophy. Retrieved October 17, 2005, from http://plato.stanford. edu/entries/logic-relevance/#Bib
- Negi Pritam Singh, Rauthan M. M. S. & Dhami H. S., (2010), Sentence Boundary Disambiguation: A User Friendly Approach, International Journal of Computer Applications (0975 – 8887), Volume 7– No.8, October 2010
- Rieh, S.Y., & Xie, H.I. (2006). Analysis of multiple query reformulations on the Web: The interactive information retrieval context. Information Processing & Management, 42(3), 751–768.
- Ruthven, I. (2005). Integrating approaches to relevance. In A. Spink & C. Cole (Eds.), New directions in cognitive information retrieval (pp. 61–80). Amsterdam: Springer.
- Ruthven, I. (2005). Integrating approaches to relevance. In A. Spink & C. Cole (Eds.), New directions in cognitive information retrieval (pp. 61–80). Amsterdam: Springer.
- Saracevic, T. (2006). Relevance: A review of and a framework for the thinking on the notion of information science. Part II. In D.A. Nitecki & E.G. Abels (Eds.), Advances in Librarianship (Vol. 30, pp. 3–71). San Diego: Academic Press.
- Saracevic, T. (2007). Relevance: A review of the literature and a framework for thinking on the notion in information science. Part III: Behavior and effects of relevance. Journal of the American Society for Information Science and Technology, 58, 2126–2144.
- Zipf, G. (1949). Human behavior and the principle of least effort. Cambridge, MA: Addison-Wesley.
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