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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 莊裕澤 | |
| dc.contributor.author | Ting-Ying Huang | en |
| dc.contributor.author | 黃婷穎 | zh_TW |
| dc.date.accessioned | 2021-06-15T05:41:29Z | - |
| dc.date.available | 2013-08-18 | |
| dc.date.copyright | 2011-08-18 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-08-04 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46786 | - |
| dc.description.abstract | 隨著網際網路的發達，愈來愈多人會在網路上發表自己的看法與評論。這些意見代表著被評論的對象在網路上的民意反應，了解這些民意可以讓被評論的對象更瞭解自身的優缺點並加以改進，不論是企業或是知名人物對於這些網路民意的瞭解程度將會是提升自身競爭力的一個關鍵因素。
然而，這些網路意見所反應出來的民意並沒有一個可以具體說明程度的指標，若要一筆一筆瞭解這些網路意見的內容會是一件困難且耗時的任務。在我們的研究中，提出一個反應網路民意的指標：”名聲 (Reputation)”。我們利用自動化意見分析的方法判斷出網路評論內容的正負傾向與意見強度，我們稱之為”情緒分數 (Sentiment score)”。除此之外，我們還提出了一個”認同度 (Support)”的概念，來衡量每筆評論被認同的程度。綜合這兩個數值來衡量一筆意見，再透過加權平均的方法整合這些意見計算一個對象的”名聲”來代表網路上大家對它的看法。接著，我們衡量某個對象的整體網路民意對於他人的影響力。這個影響力的量化是要讓企業或是知名人物對於自身的名聲給予網路上瀏覽者的影響力有一個具體的概念。 為了能讓這些指標更容易被理解，我們提出了資訊視覺化的方法來呈現這些指標。我們利用”泡泡圖 (bubble chart)”可以呈現多維度資訊的特性來呈現這些指標在不同對象之間的差異，並且搭配階層的概念來呈現這些指標在不同階層中的變化。 | zh_TW |
| dc.description.abstract | With the development of Internet, more and more people are sharing their ideas and views via the World Wide Web. These opinions represent the reaction from the public discussions toward the target; the targets can realize their strengths and improve weaknesses through the public opinion. In any circumstances, figuring out the public’s opinions is a key factor to enhancing competitiveness for both corporate groups and celebrities.
However, there are no quantified indexes to interpret the opinions, and it is also a complex task to analyze them. Therefore, we proposed an index, called “Reputation” to represent the overall public opinions. The index is an aggregation of the whole public opinion. It consists of two dimensions: “Sentiment score” and “Support”. We used a weighted average method to aggregate opinions, which formed the final reputation of an entity. This entity is the attitudes from the public. In addition, we further measured the impact of the opinions to other people. The goal of quantifying the impact value is to let corporate groups and celebrities realize their own reputation as well as the impact of public opinions. In order to clearly understand this, we proposed a visualization system to display these indexes. We will use the characteristic of Bubble Chart which can simultaneously display multiple dimensions to differentiate multiple targets’ indexes. Moreover, we also apply circle packing display to visualize hierarchy distribution within each entity. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T05:41:29Z (GMT). No. of bitstreams: 1 ntu-100-R98725046-1.pdf: 2783540 bytes, checksum: 20692e174b5220500df48dfe9f0954f8 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | Chapter 1 Introduction 1
1.1 Background and Motivation 1 1.2 Existing works 2 1.3 Our contribution 3 Chapter 2 Related Works 4 2.1 Definition of Reputation and Introduction 4 2.2 Reputation Mechanisms 5 2.3 Information Visualization 10 2.4 Summary 18 Chapter3 Method 19 3.1 Method Overview 19 3.2 Data Preprocessing 20 3.3 Reputation Calculation 21 3.4 Impact of Opinions 29 3.5 Visual Analytics 32 3.6 Summary 37 Chapter 4 Result and Discussion 38 4.1 Experiment Data 38 4.2 Case 1: Corporates 39 4.3 Case 2: Politicians 45 4.4 Evaluation 50 4.5 Summary 53 Chapter 5 Conclusion and future work 56 | |
| dc.language.iso | en | |
| dc.subject | 意見 | zh_TW |
| dc.subject | 泡泡圖 | zh_TW |
| dc.subject | 名聲 | zh_TW |
| dc.subject | 認同度 | zh_TW |
| dc.subject | 情緒分數 | zh_TW |
| dc.subject | Support | en |
| dc.subject | Bubble chart | en |
| dc.subject | Reputation | en |
| dc.subject | Opinions | en |
| dc.subject | Sentiment score | en |
| dc.title | 網路評價視覺化 | zh_TW |
| dc.title | On the Visualization of Online Reputation | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 楊傳凱,楊立偉,盧信銘 | |
| dc.subject.keyword | 意見,名聲,情緒分數,認同度,泡泡圖, | zh_TW |
| dc.subject.keyword | Opinions,Reputation,Sentiment score,Support,Bubble chart, | en |
| dc.relation.page | 63 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-08-04 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位： | 資訊管理學系 | |
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|---|---|---|---|
| ntu-100-1.pdf 未授權公開取用 | 2.72 MB | Adobe PDF |
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