Research Article
Proposing Chatbot Model for Managing Comments in Vietnam
@INPROCEEDINGS{10.1007/978-3-030-77424-0_24, author={Phat Nguyen Huu and Cam Do Manh and Hieu Nguyen Trong}, title={Proposing Chatbot Model for Managing Comments in Vietnam}, proceedings={Industrial Networks and Intelligent Systems. 7th EAI International Conference, INISCOM 2021, Hanoi, Vietnam, April 22-23, 2021, Proceedings}, proceedings_a={INISCOM}, year={2021}, month={5}, keywords={Chatbot Impolite comment Natural language processing AI Machine learning}, doi={10.1007/978-3-030-77424-0_24} }- Phat Nguyen Huu
Cam Do Manh
Hieu Nguyen Trong
Year: 2021
Proposing Chatbot Model for Managing Comments in Vietnam
INISCOM
Springer
DOI: 10.1007/978-3-030-77424-0_24
Abstract
Today, the behavioral culture on social networks is a painful issue. State agencies have been trying to clean up the network environment of country. Many policies are proposed to process videos and clips with offensive content. However, it is a small part of cleaning up the network environment. We often see hateful comments on social media sites. It exists anywhere from social media to online games that are difficult to control and punish because of their big data. There are not too many social networking sites and online games until now. Therefore, it is not too difficult for communities to limit inappropriate words. Therefore, we offer a chatbot model to manage the comments that helps to clean the network environment in the paper. The results show that the proposal model achieves up to 75% accuracy with 100,000 comments.
