Text Summarization for Information Retrieval using Pattern Recognition Techniques

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.