An Interactive Chatbot for University Open Day

Fengyu Liu, Xu Yang, Yapeng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Macau Polytechnic University (MPU) welcomes many visitors on its open day, and it is therefore necessary to provide them with excellent service and guidance. However, there are many difficulties in providing information to visitors, such as the occupation of human resources, language barriers and inaccurate answers, etc. By developing a chatbot to answer the questions from visitors instantly and consistently, helps to save human resources and increase the efficiency of work. An intelligent chatbot can not only provide accurate and appropriate responses but also bring a great communication experience to the visitors. This research uses Natural Language Processing (NLP) and Deep Learning (DL) techniques to develop a chatbot that can engage in interactive conversations with visitors for the MPU open day. A high-performance neural network is built to learn from the given dataset and can accurately answer questions about the MPU open day. Besides, STT (Speech-to-Text) and TTS (Text-to-Speech) APIs are used in this work to assist the communication between computers and humans. This work can be used as a reference framework of fast implementation of a chatbot for any knowledge area with an easy-to-adapt web interface.

Original languageEnglish
Title of host publicationProceedings of 2022 IEEE 13th International Conference on Software Engineering and Service Science, ICSESS 2022
EditorsLi Wenzheng
PublisherIEEE Computer Society
Pages214-217
Number of pages4
ISBN (Electronic)9781665410311
DOIs
Publication statusPublished - 2022
Event13th IEEE International Conference on Software Engineering and Service Science, ICSESS 2022 - Beijing, China
Duration: 21 Oct 202223 Oct 2022

Publication series

NameProceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
Volume2022-October
ISSN (Print)2327-0586
ISSN (Electronic)2327-0594

Conference

Conference13th IEEE International Conference on Software Engineering and Service Science, ICSESS 2022
Country/TerritoryChina
CityBeijing
Period21/10/2223/10/22

Keywords

  • Chatbot
  • NLP
  • Neural Network

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