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| Title: | 從文字探勘比較臺灣與中國之寫作風格—以《聯合報》與《人民日報》為例
Comparing the Writing Style of Newspaper between Taiwan and China |
| Authors: | 吳蒨芸
Wu, Qian Yun |
| Contributors: | 陳麗霞
余清祥
吳蒨芸
Wu, Qian Yun |
| Keywords: | 文字分析
風格變遷
探索性資料分析
關聯指標
兩岸差異
Text mining
Style change
Exploratory data analysis
Related index
Areal differentiation |
| Date: | 2022 |
| Issue Date: | 2022-09-02 14:45:06 (UTC+8) |
| Abstract: | 臺灣與中國同為華人社會，中文也是兩岸居民的共同語言，但書面寫作與口語對話使用方式卻有不小出入，這些差異似乎隨著時間逐漸增加，近年國際局勢變化更能讓人感受兩岸分治的不同。本文以臺灣《聯合報》和中國《人民日報》為研究素材，探討從第一代領導者蔣介石、毛澤東之後，兩岸文字風格的變遷及其差異，透過文字分析檢視文字使用變化及其意涵。除了藉由探索性資料分析（Exploratory Data Analysis，EDA）比較字詞的多樣性及不均度，本文也提出衡量雙字詞及多字詞間的方法，用以測量字詞間的關聯性，從中粹取近年台灣與中國思想的代表觀念，比較兩者有何重大變化與差異。本文使用《人民日報》1946年～2020年頭版報導、《聯合報》1960年～2020年社論，這些文章大多偏向於國際關係、國家層級等大事，較少著眼於地方性事務及社會新聞。
分析發現《人民日報》、《聯合報》在字詞多樣性有明顯差異，《人民日報》的字詞多樣性在1960年文革時期最低，之後逐年遞增至1980年代後期，繼而隨時間遞減；《聯合報》的字詞多樣性在1990年之前遞降，之後大幅提高。以出現頻率最高的前500個雙字詞作為解釋變數，代入分群模型，可將臺灣、中國分為四個年代。將本文提出的雙字詞關聯分析，發現「同一句內後一個雙字詞」找到的詞組效果較好，而且與歷史發展頗為契合。像是《人民日報》「中國」作為先行詞，四個年代可找出關聯最強的詞組為「人民、大使、特色、特色」，這與中共建國初期強調「中國→人民」民族主義的概念，之後為了進入國際舞台（如：聯合國）而出現「中國→大使」，經濟開放後則為強調「中國→特色」，向全世界推銷「中國特色社會主義」。這樣的詞與詞之間的關係，可用於描述一個概念或議題，未來可與人文學者合作，藉由詞叢關聯找出文章特色與內容大義。
Taiwan and China are both Chinese societies, and Chinese is a common language for residents on both sides of the Taiwan Strait. However, there are considerable differences in the way written and spoken language are used, and these differences seem to have increased over time. This paper uses the Taiwanese newspaper United Daily News and the Chinese newspaper People`s Daily News as research materials to explore the changes in writing styles and the differences between the two sides of the Taiwan Strait since the first leaders Kai-shek Chiang and Zedong Mao, and to examine the changes in the use of words and their meanings through textual analysis. In addition to comparing the diversity and unevenness of words through Exploratory Data Analysis (EDA), this paper also proposes a method to measure the association between two-character words and multi- character words, from which representative concepts of Taiwanese and Chinese thought in recent years are extracted to compare the significant changes and differences between them. This paper uses headlines in People`s Daily from 1946 to 2020 and editorials in United Daily News from 1960 to 2020, which mostly focus on international relations and national-level events, but less on local affairs and social news.
The word diversity of People`s Daily and United Daily News is significantly different. The word diversity of People`s Daily was the lowest in 1960 during the Cultural Revolution, and then increased year by year to the late 1980s, and then decreased over time; the word diversity of United Daily News decreased until 1990, and then increased significantly. The top 500 most frequently occurring two-character words are used as explanatory variables, and by substituting them into the clustering model, Taiwan and China can be divided into four eras. In the analysis of the two-character word association proposed in this paper, it was found that the phrase "the last two-character word in the same sentence" was found to be more effective and fit well with the historical development. For example, in the People`s Daily, "China" is used as the first word, and the strongest word group can be found in the four eras: "people, ambassador, characteristic, characteristic", which is similar to the concept of "China→people" nationalism in the early years of the Chinese Communist Party, and "China→ambassador" in order to enter the international arena (e.g., the United Nations). After the opening of the economy, "socialism with Chinese characteristics" was marketed to the world to emphasize "Chinese characteristics. Such a relationship between words can be used to describe a concept or an issue, and in the future, we can work with humanities scholars to identify the characteristics and content of articles through word clusters. |
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| Description: | 碩士
國立政治大學
統計學系
109354001 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0109354001 |
| Data Type: | thesis |
| DOI: | 10.6814/NCCU202201492 |
| Appears in Collections: | [統計學系] 學位論文
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