Paper Title :Intelligent Response Assistant to Support End User Queries in Enterprises

Author :Venkatesan Paramasivam, Balasubramanian Conjeevaram Vijayasankar, Selvakuberan Karuppasamy, Subhashini Lakshminarayanan

Article Citation :Venkatesan Paramasivam ,Balasubramanian Conjeevaram Vijayasankar ,Selvakuberan Karuppasamy ,Subhashini Lakshminarayanan , (2022 ) " Intelligent Response Assistant to Support End User Queries in Enterprises " , International Journal of Soft Computing And Artificial Intelligence (IJSCAI) , pp. 53-57, Volume-10,Issue-1

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

Type : Research paper

Published : Volume-10,Issue-1

	|		PDF	|	Viewed - 35	|	Published on 2022-10-11