Anti-Drugs Chatbot: Chinese BERT-Based Cognitive Intent Analysis

Jui Hsuan Lee, Eric Hsiao Kuang Wu, Yu Yen Ou, Yueh Che Lee, Cheng Hsun Lee, Chia Ru Chung

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

Drug abuse has always been a severe issue, but the proportion of drug abuse and addiction is rising. According to research reports, youth are motivated to access drugs mainly due to curiosity and peer influence. Additionally, youth especially lack proper knowledge and education surrounding drug abuse. Analyzing whether potential addicts intend to access drugs is helpful in preventing drug abuse and addiction. We developed an Anti-drug Chatbot for young people on a popular online social platform. We can detect potential risks, obtain warnings from the user-entered query and provide these to professional consultants for help. In this article, we present a hierarchical system with bidirectional encoder representation from transformers (BERT) to efficiently recognize and classify a user's intent. We use the Chinese BERT-based model to utilize contextual information to perform classification and recognition. We evaluate our proposed system on our conversational dataset.

原文???core.languages.en_GB???
頁(從 - 到)514-521
頁數8
期刊IEEE Transactions on Computational Social Systems
11
發行號1
DOIs
出版狀態已出版 - 1 2月 2024

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