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    Please use this identifier to cite or link to this item: http://ccur.lib.ccu.edu.tw/handle/A095B0000Q/769

    Title: 運用爬蟲技術之主題導向即時通訊聊天機器人設計與實現:以籃球領域諮詢結合LINE APP實作為例;Design and Implementation of Topic-oriented Chatbot on Instant Messenger Using Web Crawler Technology:ACase Study of Basketball Consulting on Line APP
    Authors: 魏彰村;Wi, Tsuen-Jang .
    Contributors: 通訊資訊數位學習碩士在職專班
    Keywords: 籃球領域諮詢;Linux作業系統;LINE APP;聊天機器人;人工智慧;Basketball counselor;Linux operating system;Chatbot;Artificial intelligence;LINE APP
    Date: 2017
    Issue Date: 2019-07-17 10:47:14 (UTC+8)
    Publisher: 通訊資訊數位學習碩士在職專班
    Abstract: 有鑒於科技近幾年的蓬勃發展,現今對於人工智慧的依賴日漸加深,而人工智慧在與人類語言交流的方面,尤有卓越的表現。考量現今網路上聊天機器人中,鮮少對籃球領域有太多涉略,無法滿足特定族群的需求,因此本研究運用爬蟲技術即時通訊聊天設計與實現。 就本論文研究中,找出6種不同類的聊天機器人實際執行對話測試,作為實驗設計參考,另在LINE平台上自行開發一款運用網路爬蟲技術籃球聊天機器人,此聊天機器人可在對話中,使用同一軟體的操作介面下,完成籃球領域諮詢相關作業,並與同一性質但僅利用關鍵字比對籃球聊天機器人相互比較其優缺點。 本論文在使用者評價上,針對139位的使用者,讓他們實際操作聊天機器人軟體後,實施問卷,在問卷調查中,使用者普遍認為加入網路爬蟲技術方法較優於關鍵字比對籃球聊天機器人,李克特量表平均得分差為0.35分。
    Technology has been developing in recent years because of the growing dependence on Artificial Intelligence (AI).Artificial Intelligence (AI) has extraordinary performance on the communication with humans.Considered the current online chatbots are rarely involved in basketball field and unable to meet the needs of specific groups. Therefore,in this research,I designed a topic-oriented chatbot on instant messenger which is using web crawler technology.I chose six different kinds of chatbots to perform conversation tests and then took the results as the reference for experimental design.The chatbot I designed was created by using web crawler technology and is available on LINE APP by adopting the same operation interface.The chatbot is specialized in providing basketball-related consultations and is able to compare its advantages and disadvantages with other chatbots using keywords searching. According to the users rating for 139 people,which participated in operating the topic-oriented chatbot,the result of questionnaire survey showed that most users prefer the topic-oriented chatbot using web crawler technology to the chatbots adopting keywords searching system.The average score was 0.35 points difference.
    Appears in Collections:[通訊工程研究所] 學位論文

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