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    題名: 世界城市的概念輪廓與連結:以Flickr Tags為例
    The World Cities Concept Profiling And Concatenation:A Case Study On Flickr Tags
    作者: 曹期鈞
    Tsao, Chi Chun
    貢獻者: 劉吉軒
    Liu, Jyi Shane
    曹期鈞
    Tsao, Chi Chun
    關鍵詞: 社會網路
    標記系統
    標籤類型
    詞幹分析
    字詞共現指標
    Social network
    Tagging systems
    POS
    Stemming
    Tag co-occurrence
    日期: 2013
    上傳時間: 2014-02-10 14:56:30 (UTC+8)
    摘要: 在這社會網路蓬勃發展之中、網際網路頻寬與速度相繼提昇的資訊年代，結合網路科技所衍生的Flickr網路相簿因應而生。Flickr提供許多API程式讓使用者或有興趣研究的專家學者能透過Flickr所收集及其所探討的議題，來觀察社會網路的變化情形。

    社會網路主要是由節點以及節點間彼此相連結所形成，常見的網路模型大致可分為One-mode與Two-mode兩種網路結構，而本文則採用內部同時有兩種類節點、由兩個城市與Tags共同組合而成的Two-mode網路為基礎架構，期望藉此來闡述一個Tags系統分析法，利用Flickr使用者收集、標註之Flickr標記來與世界城市的概念輪廓相連結，透過提取城市語義分配給Flickr上照片的Tags，以及解決Part-Of-Speech （POS）、詞幹還原及雜訊處理…等問題，來達成依據排名結果分析出城市概念輪廓的最終目的。

    除此之外，本文還運用了Flickr tag資料來彙整出41個城市的前100名tag，再篩選出前10名的tag，將其與相關的城市歸類一起比較。本文亦使用字詞共現指標（Tag co-occurrence）來計算與該城市的關聯性，再利用此法則來歸納出這兩個城市字詞共同出現的機會，以便於了解城市與城市之間的關連字詞組合。最後，本研究亦透過Flickr網站本身Popular Tags經由分析及匯出標籤雲的結果來與本文之實驗結果相對照，本實驗85%的吻合度驗證了可靠性。
    The Flickr Web Albums was born in the information age of social network growth, internet bandwidth and speed improvement. Users and researchers can observe the changing of social network from topics collected and studied by Flickr using API programs provided by Flickr.
    The main structure of social network can be distinguished one-mode and two-mode network which is composed by nodes, generally. An approach for world cities concept profiling analysis is developed in this study by conbineing two types of nodes and two cities with tag which is the two-mode network using extracting city semantics for tags assigned to photos on Flickr, solving Part-of-Speech（POS）, Stemming reduction and noise handing by collecting Flickr`s tags from Flickr users.
    The top 100 tags were slected for 41 cities and then top 10 tags for each city were also extracted. The Tag co-occurrence was also applied to analysis the relationship of cities. Then the connection between the cities can be understood by the result of tag co-occurrence opportunities. The 85% accurancy was demonstrated by comparing the result of analysised and exported Popular Tags from Flickr Website service and the result of experiments in this study.
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    描述: 碩士
    國立政治大學
    資訊科學學系
    98971020
    102
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0098971020
    資料類型: thesis
    顯示於類別:[資訊科學系] 學位論文

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