[1] 段尧清, 何思奇, 林平. 基于新闻文本挖掘的政府态度识别实证研究[J]. 情报理论与实践, 2019(9): 86-92, 63. DUAN Y Q, HE S Q, LIN P.Empirical research on government atti-tude recognition based on news text mining[J]. Intelligence theory and practice, 2019(9): 86-92, 63. [2] 王世伟. 略论国家高端科技智库的功能定位[J]. 情报学报, 2018, 37(6): 590-599. WANG S W.On the functional orientation of national high-end science and technology think tanks[J]. Journal of information, 2018, 37(6): 590-599. [3] CONWAY B A, KENSKi K, WANG D.The rise of Twitter in the political campaign: searching for intermedia agenda-setting effects in the presidential primary[J]. Journal of computer-mediated com-munication, 2019. [4] 常耀成. 基于多特征融合的图模型关键词提取方法研究[D]. 天津: 中国民航大学, 2018. CHANG Y C.Research on keyword extraction method of graph model based on multi feature fusion[D]. Tianjin: Civil aviation uni-versity of China, 2018. [5] 刘奇飞, 沈炜域. 基于Word2Vec和TextRank的时政类新闻关键词抽取方法研究[J]. 情报探索, 2018(6): 22-27. LIU Q F, SHEN W Y.Research on keyword extraction method of current political news based on word2vec and textrank[J]. Intelli-gence exploration, 2018(6): 22-27 [6] 杨保军. 新闻文本的个性特征[J]. 当代传播, 2004(2): 10-11. YANG B J.Personality of news text[J]. Contemporary communica-tion, 2004(2): 10-11. [7] 田海龙. 语篇研究的批评视角: 从批评语言学到批评话语分析[J]. 山东外语教学, 2006(2): 40-47. TIAN H L.Critical perspective of discourse research: From critical linguistics to critical discourse analysis[J]. Shandong foreign lan-guage teaching, 2006 (2): 40-47. [8] 周锦章, 崔晓晖. 基于词向量与TextRank的关键词提取方法[J]. 计算机应用研究, 2019, 36(4): 1051-1054. ZHOU J Z, CUI X H.Keyword extraction method based on word vector and textrank[J]. Computer application research, 2019, 36(4): 1051-1054. [9] 宁建飞, 刘降珍. 融合Word2vec与TextRank的关键词抽取研究[J]. 现代图书情报技术, 2016(6): 20-27. NING J F, LIU J Z.Research on keyword extraction integrating word2vec and textrank[J]. Modern library and information technology, 2016(6): 20-27. [10] 夏天. 词向量聚类加权TextRank的关键词抽取[J]. 数据分析与知识发现, 2017, 1(2): 28-34. XIA T.Keyword extraction of word vector clustering weighted textrank[J]. Data analysis and knowledge discovery, 2017, 1(2): 28-34. [11] 李尚昊, 朝乐门. 文本挖掘在中文信息分析中的应用研究述评[J]. 情报科学, 2016, 34(8): 153-159. LI S H, CHAO L M.Review on the application of text mining in Chinese information analysis[J]. Information science, 2016, 34(8): 153-159. [12] 徐立. 基于加权TextRank的文本关键词提取方法[J]. 计算机科学, 2019, 46(s1): 142-145. XU L.Text keyword extraction method based on weighted textrank[J]. Computer science, 2019, 46(S1): 142-145. [13] 李志强, 潘苏含, 戴娟, 等. 一种改进的TextRank关键词提取算法[J]. 计算机技术与发展, 2020, 30(3): 77-81. LI Z Q, PAN S H, DAI J, et al.An improved Textrank keyword ex-traction algorithm[J]. Computer technology and development, 2020, 30(3): 77-81. [14] 赵芃. 2016年国内批评话语分析研究综述[J]. 天津外国语大学学报, 2017(4): 72-79. ZHAO P. A review of critical discourse analysis in China in2016[J]. Journal of Tianjin foreign studies university, 2017(4): 72-79. [15] 刘如, 张惠娜, 杜丽萍, 等. 基于情报3.0工作思路的自动简报系统设计与实现[J]. 情报学报, 2018, 37(2): 172-182. LIU R, ZHANG H N, DU L P, et al.Design and implementation of automatic briefing system based on intelligence 3.0[J]. Journal of the China society for scientific and technical information, 2018, 37(2): 172-182. [16] 杨敏, 符小丽. 基于语料库的"历史语篇分析"(DHA)的过程与价值——以美国主流媒体对希拉里邮件门的话语建构为例[J]. 外国语(上海外国语大学学报), 2018, 41(2): 77-85. YANG M, FU X L.The process and value of corpus based "historical discourse analysis" (DHA): A case study of the discourse construction of Hillary Clinton's e-mail gate in American mainstream media[J]. Foreign languages (Journal of Shanghai foreign studies university), 2018, 41(2): 77-85. [17] 李占芳, 彭梦莹. 美国主流新闻媒体对"中美贸易战"中双方形象的刻画——以《华盛顿邮报》为例[J]. 华北电力大学学报(社会科学版), 2019(5): 107-114. LI Z F, PENG M Y.The portrayal of the images of the two sides in the "Sino US trade war" by the mainstream news media in the United States - Taking the Washington Post as an example[J]. Journal of north China electric power university (Social science edition), 2019 (5): 107-114. [18] 刘文宇, 胡颖. 基于文本挖掘的非传统文本批评话语研究[J]. 天津外国语大学学报, 2020, 27(4): 29-41, 158-159. LIU W Y, HU Y. Research on non-traditional text critical discourse based on text mining[J]. Journal of Tianjin foreign studies university, 2020, 27 (4): 29-41, 158-159. [19] 彭红梅, 刘忠. 人工智能对国家安全的影响——基于美国四家智库的观点分析[J]. 社会科学文摘, 2020(8): 115-118. PENG H M, LIU Z.The impact of artificial intelligence on national security: An analysis based on the views of four American think tanks[J]. Social science abstracts, 2020(8): 115-118. [20] TEPEL T, GREGORY C.Allen: Understanding China's AI Strategy: Clues to Chinese strategic thinking on artificial intelligence and national security. Washington, D.C.: Center for a new American security February 2019[J]. SIRIUS - Ztschrift für strategische analysen, 2019, 3(3): 305-306. [21] 赵洪, 王芳, 王晓宇, 等. 基于大规模政府公文智能处理的知识发现及应用研究[J]. 情报学报, 2018, 37(8): 805-812. ZHAO H, WANG F, WANG X Y, et al.Research on knowledge discovery and application based on intelligent processing of large-scale government documents[J]. Journal of information, 2018, 37(8): 805-812. [22] 段伟文. 控制的危机与人工智能的未来情境[J]. 探索与争鸣, 2017(10): 7-10. DUAN W W.Crisis of control and future situation of artificial intelligence[J]. Exploration and contention, 2017(10): 7-10. [23] Amandeep Singh Gill.Artificial intelligence and international security: The long view[J]. Ethics & international affairs, 2019, 33(2): 12-20. [24] GUO L, VARGO C.The power of message networks: A big-data analysis of the network agenda setting model and issue ownership[J]. Mass communication & society, 2015, 18(5): 557-576. [25] ZHENG P, LI X.Is social media for everyone?: The role of social capital and communication anxiety in structuring use of social networking sites[J]. Journal of social media studies, 2016: 2. |