反毒小幫手：用於提倡反毒意識的聊天機器人

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姓名

楊智傑(Chih-Chieh Yang) 查詢紙本館藏

畢業系所

資訊工程學系

論文名稱

反毒小幫手：用於提倡反毒意識的聊天機器人
(Anti-Drug Friend: A Chatbot for advocating the awareness of Anti-Drug)

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至系統瀏覽論文 ( 永不開放)

摘要(中)

近年來，毒品的傳播和濫用一直是社會關注的焦點。毒品的傳播可能會給我們的社會帶來嚴重的問題，危害公眾的生命，健康和財產安全。儘管在反毒領域已經做了很多的努力，但毒品案件中的犯罪人數仍在增加。因此，有必要找到一種提昇一般民眾反毒意識的方法。
使用人工智慧可以實現更多應用程序，例如聊天機器人。使用聊天機器人有幾個優點：它可以全天候工作、有效降低人工成本、可以快速的部署在社群媒體訊息平台上且易於使用。目前，市場上的聊天機器人不能完全應用於反毒領域，因此我們提出其他的架構改善反毒相關的問答，並能夠回答更詳細的毒品知識。接著，我們提出利用聊天機器人提倡毒品的一般知識和加深對人們的反毒意識的反毒小幫手。現在，我們的反毒小幫手已經在LINE上服務。在這個毒品相關的領域上，我們的聊天機器人可以回答用使用者：有關毒品的知識、如何處理與毒品相關的問題、以及提供有關反毒的最新消息和新聞。

摘要(英)

In recent years, the spread and abuse of drugs has always been the focus of social attention. The spread of drugs can cause serious problems in our society and endanger the lives, property and health of the public. Although there have been many efforts in the domain of anti-drug, the number of guilty persons in drug cases is still rising. Therefore, there is a need to find a way to promote anti-drug awareness.
More applications can achieved with an artificial intelligence computer, such as chatbot. There are several advantages to using a chatbot: it can work around the clock, effectively reducing labor costs, can be deployed on social media messaging platforms and easy to use. At present, chatbots on the market cannot be completely applied to the anti-drug domain, so we propose other architectures to improve the anti-drug related QA and to answer more detailed knowledge about drugs. Then, we propose Anti-Drug Friend that utilize chatbot to advocate general knowledge about drugs and deepening anti-drug awareness for people. Currently, our Anti-Drug Friend is already serving on LINE. For an anti-drug domain, our chatbot can answer user: Information about drugs, How to deal with drug problems, Pushing the latest news and information about drugs.

關鍵字(中)

★ 反毒
★ 聊天機器人
★ 自然語言
★ 基於知識庫的系統

關鍵字(英)

★ Anti-Drug
★ Chatbot
★ Natural languages
★ Knowledge based systems

論文目次

摘要 I
Abstract II
致謝 III
Table of Contents IV
List of Figures VI
1. Introduction 1
1.1 Motivation & Proposed Goal 1
1.2 Organization of Thesis 6
2. Related Works 7
3. System Design 10
3.1 Background 10
3.2 System Architecture 12
3.2.1 Response module 18
3.2.2 Modules Analysis 21
4. Implementation 22
4.1 ChatBot Server module 22
4.2 Web Server module 23
4.3 Results and Displays 24
5. Conclusion and Future Works 29
References 30

參考文獻

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指導教授

吳曉光

審核日期

2019-7-24

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