University Auto Reply FAQ Chatbot Using NLP and Neural Networks

Harshita Mangotra, Vibhuti Dabas, Bhanu Khetharpal, Abhigya Verma, S. Singhal, A. K. Mohapatra
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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.
使用NLP和神经网络的大学自动回复常见问题聊天机器人
当新学生进入大学,他们经常有类似的问题——“在哪里学习这门课程?”、“如何准备数据结构和算法?”、“如何与老年人沟通?”等等。使用聊天机器人可以帮助他们快速有效地得到问题的答案。本研究提出了一种深度学习(DL)聊天机器人,用于解决大学生的常见疑问,为大学特定问题提供有效和准确的回答。在构建聊天机器人的过程中,使用了自管理数据集,并利用自然语言处理技术(NLP)对收集到的原始数据进行预处理。该研究比较了两种深度学习模型——双向长短期记忆(LSTM)网络和简单的前馈神经网络模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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