{"title":"基于深度学习的高效GRIET聊天机器人","authors":"A. N, Sai Sravya Thumati, Sandhya Reyya","doi":"10.1109/icdcece53908.2022.9792978","DOIUrl":null,"url":null,"abstract":"This work aims to develop a chatbot that can provide required information about the educational institute, GRIET. At present, there is no chatbot system available for the institute’s website. The entire website needs to be scrolled in order to get the required data. The proposed chatbot, GrietBot, helps in easy access of information for the user’s query. The chatbot model exploits algorithms in order to process user queries and retrieve appropriate information efficiently. Various text preprocessing techniques and deep learning techniques are used to provide the state of art model in developing the first chatbot for GRIET. This chatbot helps access the information faster without the user’s physical presence in this pandemic.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Efficient Deep Learning Based Chatbot for GRIET\",\"authors\":\"A. N, Sai Sravya Thumati, Sandhya Reyya\",\"doi\":\"10.1109/icdcece53908.2022.9792978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims to develop a chatbot that can provide required information about the educational institute, GRIET. At present, there is no chatbot system available for the institute’s website. The entire website needs to be scrolled in order to get the required data. The proposed chatbot, GrietBot, helps in easy access of information for the user’s query. The chatbot model exploits algorithms in order to process user queries and retrieve appropriate information efficiently. Various text preprocessing techniques and deep learning techniques are used to provide the state of art model in developing the first chatbot for GRIET. This chatbot helps access the information faster without the user’s physical presence in this pandemic.\",\"PeriodicalId\":417643,\"journal\":{\"name\":\"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icdcece53908.2022.9792978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icdcece53908.2022.9792978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Deep Learning Based Chatbot for GRIET
This work aims to develop a chatbot that can provide required information about the educational institute, GRIET. At present, there is no chatbot system available for the institute’s website. The entire website needs to be scrolled in order to get the required data. The proposed chatbot, GrietBot, helps in easy access of information for the user’s query. The chatbot model exploits algorithms in order to process user queries and retrieve appropriate information efficiently. Various text preprocessing techniques and deep learning techniques are used to provide the state of art model in developing the first chatbot for GRIET. This chatbot helps access the information faster without the user’s physical presence in this pandemic.