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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 童涵浦(Hans H. Tung) | |
| dc.contributor.author | Xuan Chen | en |
| dc.contributor.author | 陳軒 | zh_TW |
| dc.date.accessioned | 2021-06-08T03:28:27Z | - |
| dc.date.copyright | 2019-08-20 | |
| dc.date.issued | 2019 | |
| dc.date.submitted | 2019-08-20 | |
| dc.identifier.citation | Anderson, Perry. 2010. “Two Revolutions.” New Left Review (61):59–96.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/21193 | - |
| dc.description.abstract | 針對 19 世紀先進工業國政治現實的馬克思主義革命理論，為什麼於 20 世紀 先後在俄國和中國兩個落後的農業國指導革命實踐獲得成功？具體而言，農民怎 樣從馬克思筆下「非階級化的階級」、共產主義革命的阻礙力量，演變成了列寧 筆下無產階級民主專政的同盟軍、毛澤東筆下共產主義革命中「一支天然的革命 力量」？
本文藉助最新發展的計算機深度學習神經網絡文本分析情感分類技術，研究 從馬克思到列寧最終到毛澤東的共產主義意識形態下革命理論的「農民化 （peasantization）」過程。從「農民階級在革命中的角色」的視角，本文考察以 列寧為代表的俄國布爾什維克和以毛澤東為代表的中國共產黨，針對各自國家無 產階級工人缺乏、農民人口眾多的現實，如何對產生於19世紀中葉的經典馬克思 主義革命理論進行繼承、改造和發展，以期使革命理論符合各自革命現實的革命 需求。同時對兩國的共產主義革命中經典馬克思主義革命理論的在地化 （localization）過程以及理論與實踐的共同演化過程進行比較分析。 研究發現在革命的各個階段和面臨各種革命實踐政治情勢時，列寧更多地從 實用主義和機會主義的角度理解、利用農民階級在共產主義革命中的革命性，常 常將農民看做是無產階級的同盟軍；而毛澤東相較之下往往從馬克思主義理論本 身出發，試圖從根本上改進馬克思主義中農民階級革命性的定位，將農民看做是 落後農業國開展無產階級革命的原動力。但二者相對於正統馬克思主義革命理論 來說，都不同程度地強調了農民階級的革命性。由此，在馬克思—列寧—毛澤東 這一共產革命理論譜系中，農民階級被賦予的革命性呈現不斷上升的軌跡。 | zh_TW |
| dc.description.abstract | Why did Marxism, as a revolutionary theory based on political realities of advanced industrial societies, successfully directed the political struggles in the name of the communist revolution in 20th-century Russia and China? Specifically, how the peasantry as a social class, portrayed as a negative factor in the communist revolution by Marx, gradually evolved into the alliance with the proletariat from Lenin’s description and the natural revolutionary power from Mao’s description?
This thesis using the latest computer-assisted text sentiment classification analysis based on deep learning neural network, examines the peasantization processes of communist revolutionary theories from Marxism to Maoism. From the perspective of the peasantry’s role in the revolution, the study analyzes the processes that Lenin as the leader of the Bolshevik and Mao as the leader of the Chinese Communist Party, inheriting、reforming and developing Orthodox Marxism in order to meet their own revolutionary needs. Meanwhile, the study compares the processes of localization of Marxism and the coevolutionary processes between the revolutionary theories and the political realities occurring in the two countries during the communist revolutions. The study finds that during different revolutionary stages or confronted with different political realities, Lenin was inclined to opportunistically use the role of the peasantry, while Mao relatively strived to revise the peasantry’s revolutionary position as a whole social class in Marxist revolutionary theory and portrayed the peasantry as a tremendous revolutionary momentum in backward non-industrial countries. However, these two revolution theorists both emphasized the revolutionary role of the peasantry. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T03:28:27Z (GMT). No. of bitstreams: 1 ntu-108-R01322041-1.pdf: 4498789 bytes, checksum: acdf1431bd94a11f312c9bb99337c24a (MD5) Previous issue date: 2019 | en |
| dc.description.tableofcontents | 第一章緒論1
第一節問題意識與研究目的1 第二節研究設計3 第三節章節安排8 第二章文獻回顧11 第一節文本分析方法11 第二節馬克思—列寧—毛澤東革命理論傳統中的農民問題12 第三章研究方法：基於深度學習LSTM神經網絡的文本分類23 第一節從機器學習到深度學習：神經網絡文本分類的原理23 第二節利用LSTM神經網絡構架對毛澤東文本進行二分類31 第三節利用LSTM神經網絡構架對列寧文本進行三分類38 第四章農民問題與毛澤東思想的形塑47 第一節1925—27：「誰是我們的朋友？」48 第二節1928—36：富農主義與路線鬥爭52 第三節1937—45：新民主主義56 第四節1946—49：現實主義與政治宣傳60 第五節總結：毛澤東革命理論與革命實踐的共同演化63 第五章農民問題與列寧主義的形塑67 第一節1893—1904：機會主義68 第二節1905—1916：工農民主專政71 第三節1917—1923：餘糧征集與新經濟政策73 第四節總結：列寧革命理論與革命實踐的共同演化77 第六章結論79 第一節研究總結79 第二節研究限制與展望81 参考文献83 附錄Keras深度學習LSTM神經網絡模型Python代碼91 第一節對毛澤東文本二分類訓練集深度學習代碼91 第二節對列寧文本三分類訓練集深度學習代碼95 第三節使用已訓練的神經網絡分類模型對語料庫中語句進行預測分類99 | |
| dc.language.iso | zh-TW | |
| dc.subject | 共同演化分析 | zh_TW |
| dc.subject | 馬克思主義 | zh_TW |
| dc.subject | 列寧 | zh_TW |
| dc.subject | 毛澤東 | zh_TW |
| dc.subject | 農民 | zh_TW |
| dc.subject | 階級 | zh_TW |
| dc.subject | 革命 | zh_TW |
| dc.subject | 深度學習 | zh_TW |
| dc.subject | 機器學習 | zh_TW |
| dc.subject | 文本分析 | zh_TW |
| dc.subject | 情緒分析 | zh_TW |
| dc.subject | 歷史過程分析 | zh_TW |
| dc.subject | deep learning | en |
| dc.subject | coevolutionary process analysis | en |
| dc.subject | historical process analysis | en |
| dc.subject | sentiment analysis | en |
| dc.subject | text analysis | en |
| dc.subject | machine learning | en |
| dc.subject | Marxism | en |
| dc.subject | Lenin | en |
| dc.subject | Mao Zedong | en |
| dc.subject | peasantry | en |
| dc.subject | class | en |
| dc.subject | communist revolution | en |
| dc.title | 農民如何成為「革命階級」？——中俄共產革命中馬克思主義革命理論「農民化」與政治實踐共同演化研究 | zh_TW |
| dc.title | How the Peasantry Became a Revolutionary Class? Research on Coevolutionary Courses of the Peasantization of Marxist Revolution Theory During the Russian and Chinese Revolutions | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 107-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 趙竹成(Zhu-cheng Zhao),吳文欽(Wen-Chin Wu) | |
| dc.subject.keyword | 馬克思主義,列寧,毛澤東,農民,階級,革命,深度學習,機器學習,文本分析,情緒分析,歷史過程分析,共同演化分析, | zh_TW |
| dc.subject.keyword | Marxism,Lenin,Mao Zedong,peasantry,class,communist revolution,deep learning,machine learning,text analysis,sentiment analysis,historical process analysis,coevolutionary process analysis, | en |
| dc.relation.page | 100 | |
| dc.identifier.doi | 10.6342/NTU201904056 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2019-08-20 | |
| dc.contributor.author-college | 社會科學院 | zh_TW |
| dc.contributor.author-dept | 政治學研究所 | zh_TW |
| 顯示於系所單位： | 政治學系 | |
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