Harshita Mangotra, Vibhuti Dabas, Bhanu Khetharpal, Abhigya Verma, S. Singhal, A. K. Mohapatra
{"title":"University Auto Reply FAQ Chatbot Using NLP and Neural Networks","authors":"Harshita Mangotra, Vibhuti Dabas, Bhanu Khetharpal, Abhigya Verma, S. Singhal, A. K. Mohapatra","doi":"10.47852/bonviewaia3202631","DOIUrl":null,"url":null,"abstract":"When new students enter college, they often have similar questions - ”Where to study for this subject?”, ”How to prepare Data Struc- tures and Algorithms?”, ”How to connect with seniors?” and so on. The use of chatbots can help them get answers to their questions quickly and efficiently. This study proposes a Deep Learning (DL) chatbot for addressing common doubts of university students, pro- viding efficient and accurate responses to college-specific questions. A self-curated dataset is used for the purpose of building the chat- bot and natural language processing techniques (NLP) are utilized for the pre-processing of raw data gathered. The study compares two deep learning models - a bidirectional Long Short Term Memory (LSTM) network and a simple feed-forward neural network model.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial intelligence and applications (Commerce, Calif.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47852/bonviewaia3202631","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
When new students enter college, they often have similar questions - ”Where to study for this subject?”, ”How to prepare Data Struc- tures and Algorithms?”, ”How to connect with seniors?” and so on. The use of chatbots can help them get answers to their questions quickly and efficiently. This study proposes a Deep Learning (DL) chatbot for addressing common doubts of university students, pro- viding efficient and accurate responses to college-specific questions. A self-curated dataset is used for the purpose of building the chat- bot and natural language processing techniques (NLP) are utilized for the pre-processing of raw data gathered. The study compares two deep learning models - a bidirectional Long Short Term Memory (LSTM) network and a simple feed-forward neural network model.