Mi-Botway: a Deep Learning-based Intelligent University Enquiries Chatbot

Yurio Windiatmoko, A. Hidayatullah, Dhomas Hatta Fudholi, R. Rahmadi
{"title":"Mi-Botway: a Deep Learning-based Intelligent University Enquiries Chatbot","authors":"Yurio Windiatmoko, A. Hidayatullah, Dhomas Hatta Fudholi, R. Rahmadi","doi":"10.29099/ijair.v6i1.247","DOIUrl":null,"url":null,"abstract":"Intelligent systems for universities that are powered by artificial intelligence have been developed on a large scale to help people with various tasks. The chatbot concept is nothing new in today's society, which is developing with the latest technology. Students or prospective students often need actual information, such as asking customer service about the university, especially during the current pandemic, when it is difficult to hold a personal meeting in person. Chatbots utilized functionally as lecture schedule information, student grades information, also with some additional features for Muslim prayer schedules and weather forecast information. This conversation bot was developed with a deep learning model adopted by an artificial intelligence model that replicates human intelligence with a specific training scheme. The deep learning implemented is based on RNN which has a special memory storage scheme for deep learning models, in particular in this conversation bot using GRU which is integrated into RASA chatbot framework. GRU is also known as Gated Recurrent Unit, which effectively stores a portion of the memory that is needed, but removes the part that is not necessary. This chatbot is represented by a web application platform created by React JavaScript, and has 0.99 Average Precision Score.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Artificial Intelligence Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29099/ijair.v6i1.247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Intelligent systems for universities that are powered by artificial intelligence have been developed on a large scale to help people with various tasks. The chatbot concept is nothing new in today's society, which is developing with the latest technology. Students or prospective students often need actual information, such as asking customer service about the university, especially during the current pandemic, when it is difficult to hold a personal meeting in person. Chatbots utilized functionally as lecture schedule information, student grades information, also with some additional features for Muslim prayer schedules and weather forecast information. This conversation bot was developed with a deep learning model adopted by an artificial intelligence model that replicates human intelligence with a specific training scheme. The deep learning implemented is based on RNN which has a special memory storage scheme for deep learning models, in particular in this conversation bot using GRU which is integrated into RASA chatbot framework. GRU is also known as Gated Recurrent Unit, which effectively stores a portion of the memory that is needed, but removes the part that is not necessary. This chatbot is represented by a web application platform created by React JavaScript, and has 0.99 Average Precision Score.
Mi-Botway:一个基于深度学习的智能大学查询聊天机器人
以人工智能为动力的大学智能系统已经被大规模开发,以帮助人们完成各种任务。在当今社会,聊天机器人的概念并不新鲜,因为当今社会的发展离不开最新的技术。学生或未来的学生通常需要实际的信息,例如询问有关大学的客户服务,特别是在当前大流行期间,很难亲自举行个人会议。聊天机器人的功能包括讲座时间表信息、学生成绩信息,以及一些附加功能,如穆斯林祈祷时间表和天气预报信息。这个对话机器人是用人工智能模型采用的深度学习模型开发的,该模型通过特定的训练方案复制人类智能。实现的深度学习是基于RNN的,RNN为深度学习模型提供了一种特殊的内存存储方案,特别是在这个使用GRU的会话机器人中,GRU集成到RASA聊天机器人框架中。GRU也被称为门控循环单元,它有效地存储了一部分需要的内存,但删除了不需要的部分。该聊天机器人由React JavaScript创建的web应用平台表示,平均精度分数为0.99。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信