DOIONLINE 
DOIONLINE Publish In |
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI |
 Journal Home Volume Issue |
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Issue |
Volume-10,Issue-1 ( May, 2022 ) | |||||||||
Paper Title |
Intelligent Response Assistant to Support End User Queries in Enterprises | |||||||||
Author Name |
Venkatesan Paramasivam, Balasubramanian Conjeevaram Vijayasankar, Selvakuberan Karuppasamy, Subhashini Lakshminarayanan | |||||||||
Affilition |
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Pages |
53-57 | |||||||||
Abstract |
Abstract - In this paper, we have proposed a new approach to the Question-answering framework for effective handling of user queries. Our approach includes Universal Sentence Encoder (USE) for semantic similarities with an SVM-based classifier model for detecting the cluster IDs from a large FAQ knowledge base. This approach makes the responses faster and the framework scalable. Based on our test results, the model provides approximately 90-95% accuracy for query responses. Keywords - FAQ, Semantic Search, clustering, Question- Answering | |||||||||
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