研究生: |
趙蔚華 Chao, Wei-Hua |
---|---|
論文名稱: |
文件內容重要度之判定及視覺化模式 A Model for Determination and Visualization the Importance of Document Contents |
指導教授: |
侯建良
Hou, Jiang-Liang |
口試委員: |
余豐榮
Yu, Fong-Jung 楊士霆 Yang, Shih-Ting |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management |
論文出版年: | 2019 |
畢業學年度: | 107 |
語文別: | 中文 |
論文頁數: | 301 |
中文關鍵詞: | 文字探勘 、文句重要度衡量 、即時影像標註 |
外文關鍵詞: | value of sentence, real-time image scanned video, Text mining |
相關次數: | 點閱:2 下載:1 |
分享至: |
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當資訊需求者欲掌握事件之全盤細節時,其往往藉由不同管道蒐集大量之相關資訊並加以閱讀,以進一步於此些相關資訊中獲取該事件較全面且周延之訊息。然而,現今之資訊需求者往往可於短時間內自網際網路或報章雜誌等多元搜尋管道中獲取大量的相關文件,卻無法於短時間、有限時間內完整掌握所獲取文件之內容脈絡。為解決此問題,本研究乃發展一套「文件內容重要度之判定及視覺化」模式。當蒐集欲了解之事件相關資訊後,資訊需求者可利用行動裝置將所獲取之各相關資訊文件以掃描方式輸入本研究所提出的模式中,以藉由此模式獲取文件各文句之重要度及各文句重要度所對應之重要度標註顏色。最後,資訊需求者即可透過此些文件各文句掃描後之即時影像上所標註之文句重要度顏色快速辨別文件中較具重要性之文句,以有效率地了解文件之內容脈絡。
When the information requester wants to grasp the overall details of the event, it often collects amount of relevant information from different place such as newspaper, magazing…etc. and than read it all. However, today's information requester can often obtain a large number of related documents from different place in a short period of time, but cannot read it all within a limited time. In order to solve this problem, this study develops a set of "A Model for Determination and Visualization the Importance of Document Content" and a corresponding system. After collecting relevant information which want to known, the information requester can use the mobile device to scan all the relevant information files into the mode. After model obtain the importance of each sentence of the document and get the marked with a different color, information requester can quickly identify the important part of the document by the different mark color which will be show on the real-time image scanned video. In this way, information requester can understand the context of the file more efficiently.
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