English  |  正體中文  |  简体中文  |  Items with full text/Total items : 69561/69561 (100%)
Visitors : 23132647      Online Users : 466
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/81170

    Title: 基於聊天機器人之校園自動化客服設計與實作;Design and Implementation of Campus Automation Customer Service Based on Chatbot
    Authors: 陳信介;Chen, Hsing-Chieh
    Contributors: 資訊工程學系在職專班
    Keywords: 聊天機器人;客戶服務;自然語意分析;即時通訊;Chatbot
    Date: 2019-08-19
    Issue Date: 2019-09-03 15:37:57 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 近年來,聊天機器人越來越流行,各種聊天機器人平台也陸續出現,如主打NLP的公司:Facebook Wit.ai、Google dialogflow、IBM Watson、微軟LUIS等,到無須寫程式的Manychat、Chatfuel平台。
    本論文研究主要以無伺服器架構來建置學校客服機器人,以Google apps script為開發語言、以Dialogflow進行語意分析以及使用Firebase database儲存對話記錄、滿意度記錄、意見回饋及建置後台讓各行政單位建立問答集。管理者可以依各項數據來了解客服機器人服務狀況,不斷改善問答集,提升準確度,減低客服人員的負擔。
    ;In recent years, Chatbots have become more and more popular, and various Chatbot platforms have appeared one after the other, such as NLP companies like Facebook Wit.ai, Google Dialogflow, IBM Watson, Microsoft LUIS, etc., to the Manychat and Chatfuel platforms without writing programs.
    Chat is a basic way of interacting with people. Nowadays communication software is quite common and everyone is using it. Chatbots can be used in many ways, such as online customer service, education, entertainment and personal assistants. They can replace the repetitive customer service work, 24 hours of uninterrupted work, so that customer service staff can handle more complex problems, saving the resource cost of customer service manpower.
    This study aims to build a school customer service chatbot with serverless framwork, using Google apps script as the development language, analyzing the semantics with Dialogflow, and using Firebase database to store conversation records, satisfaction records, feedback and build the backend for each administration. The unit establishes a question and answer set. Managers can understand the service status of customer service chatbot according to various data, continuously improve the question and answer set, improve accuracy, and reduce the burden on customer service personnel.
    In this paper, in the overall customer satisfaction evaluation, 52 users were invited to join the customer service chatbot to implement the online questionnaire, and the results were analyzed. The average value of the Likert scale was 4.06.The user is agreed with the service of the customer service chatbot mentioned in this paper.
    Appears in Collections:[資訊工程學系碩士在職專班 ] 博碩士論文

    Files in This Item:

    File Description SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明