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研究生(外文):Man-Chun hsieh
論文名稱(外文):On the Relationship between Writing Style and Popularity of a Chinese Weblog: The Case of Pixnet
指導教授(外文):Yuh-Jzer Joung
口試委員(外文):Ling-Chieh KungChien-Chin Chen
外文關鍵詞:Weblog AnalysisPopularityArticle AttributesWriting Style
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In recent years, the Internet has been getting more and more popular. For most people, it is a convenient way to build their own personal weblog. Often, people work to get more and more popularity for their weblogs; therefore, one method used to assess a blog’s performance is its popularity. However, there are significant gaps between those classified as being of low popularity compared to those of high popularity. High popularity weblogs can attract more than tens of thousands of visitors within a day. Conversely, those of low popularity usually have visitors numbering in the hundreds or tens per day.
In this thesis, we propose a strategy which uses a bloggers’ writing style to evaluate: Which attributes of blog’s writing style influence its popularity? To what degree is a blog’s popularity impacted by these factors? What are the main reasons for the variable levels of popularity? In this study, we analyzed 100 authors on Pixnet and collected data regarding their blog content from past to present. We propose 11 attributes from four perspectives including word level, sentence level, segment level, and document level to calculate an analysis of variation and correlation coefficients in order to analyze relevance between these attributes and popularity.
According to our research, regarding general attributes, we find that punctuation, degrees of words, part of speeches, sentence length, articles with positive segment words, and articles with negative segment words significantly influence an article’s popularity. In terms of classification attributes, classification of articles and HIT-CIR Tongyici Cilin are obviously related to popularity. Based on our findings, we have made some suggestions on how to improve popularity using certain writing styles on the Chinese weblog Pixnet and demonstrate the accuracy for classifying articles based on attributes.

論文口試委員審定書 i
致謝 ii
中文摘要 iii
英文摘要 iv
圖目錄 vi
表目錄 vii
第一章、緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 3
1.4 論文架構 4
第二章、文獻探討 5
2.1 部落格 5
2.2文章特徵 9
2.3相關技術文獻探討 12
2.4小結 21
第三章、研究方法 23
3.1 研究問題 23
3.2 研究架構 23
3.3 研究假說 36
第四章、研究結果 38
4.1 敘述統計分析 38
4.2 特徵分析 45
4.3 模型應用 70
4.4 小結 72
第五章、結論 75
5.1 研究成果 75
5.2 研究貢獻 76
5.3 研究限制 77
5.4 未來研究方向 78
參考文獻 79

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