A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM

Abstract
Today, the information is growing enormously and it is difficult and tedious task to retrieve the necessary information from that pool. The main area for retrieving relevant answers is called intelligent information retrieval. To achieve this, question and answering system is used. This question and answering plays a major role in user query processing, information retrieval and extracting related information from the information pool. Recently, number of optimization algorithms is introduced to obtain the accurate and better results. Genetic Algorithm and Cuckoo Search are nature inspired meta-heuristic optimization algorithms. In this paper, combination of Genetic Algorithm with Cuckoo Search is applied to the question and answering system. The proposed algorithm is tested with the Amazon review, Trip Advisor and 20newsgroup datasets. The results are compared with Genetic Algorithm and Cuckoo Search algorithms.

Authors
K Karpagam1, A Saradha2
Dr. Mahalingam College of Engineering and Technology, India1, Institute of Road and Transport Technology, India2

Keywords
Document Clustering, Cuckoo Search, Genetic Algorithm, Information Retrieval, Question and Answering
Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 7 , Issue: 3 )
Date of Publication :
April 2017

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