A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM
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...
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2017-04-01
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| Series: | ICTACT Journal on Soft Computing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/ArticleDetails.aspx?id=3015 |
| _version_ | 1818532844807389184 |
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| author | K Karpagam A Saradha |
| author_facet | K Karpagam A Saradha |
| author_sort | K Karpagam |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T17:50:50Z |
| format | Article |
| id | doaj.art-6e8b9719a0744cb18018ee3858d7ee2a |
| institution | Directory Open Access Journal |
| issn | 0976-6561 2229-6956 |
| language | English |
| last_indexed | 2024-12-11T17:50:50Z |
| publishDate | 2017-04-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Soft Computing |
| spelling | doaj.art-6e8b9719a0744cb18018ee3858d7ee2a2022-12-22T00:56:13ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562017-04-017314471451A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEMK Karpagam0 A Saradha1Dr. Mahalingam College of Engineering and Technology, India Institute of Road and Transport Technology, IndiaToday, 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.http://ictactjournals.in/ArticleDetails.aspx?id=3015Document ClusteringCuckoo SearchGenetic AlgorithmInformation RetrievalQuestion and Answering |
| spellingShingle | K Karpagam A Saradha A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM ICTACT Journal on Soft Computing Document Clustering Cuckoo Search Genetic Algorithm Information Retrieval Question and Answering |
| title | A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM |
| title_full | A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM |
| title_fullStr | A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM |
| title_full_unstemmed | A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM |
| title_short | A HYBRID OPTIMIZATION TECHNIQUE FOR EFFECTIVE DOCUMENT CLUSTERING IN QUESTION ANSWERING SYSTEM |
| title_sort | hybrid optimization technique for effective document clustering in question answering system |
| topic | Document Clustering Cuckoo Search Genetic Algorithm Information Retrieval Question and Answering |
| url | http://ictactjournals.in/ArticleDetails.aspx?id=3015 |
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