AI-based chatbot
In recent years, the NTU website has witnessed significant growth, leading to challenges in information navigation, particularly for newly admitted students. This problem is exacerbated by the inherent ambiguity of natural language, making it exceedingly difficult to develop computer software tha...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/172097 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | In recent years, the NTU website has witnessed significant growth, leading to challenges in
information navigation, particularly for newly admitted students. This problem is exacerbated by
the inherent ambiguity of natural language, making it exceedingly difficult to develop computer
software that comprehends it. However, leveraging recent advances in deep learning and neural
networks, AI chat bots have evolved from simple rule-based systems into sophisticated natural
language processing (NLP) models capable of understanding and generating human-like text.
To address these challenges, we present a chatbot model developed using these advanced
NLP techniques, trained on a diverse set of potential user inquiries aligned with commonly
asked questions. In this report, we delve into the current implementation of the question intent
classification model within the chatbot, discussing both its advantages and disadvantages. This
chatbot aims to enhance the user experience on the NTU website by providing efficient and
contextually relevant information retrieval, ultimately easing the navigation and search process
for all users, especially newcomers. |
|---|