[1] 周庆山,曹文振. 50年来全球信息政策研究的阶段化演进历程、逻辑与展望[J].图书情报工作, 2022, 66(20):32-44.(ZHOU Q S, CAO W Z. Staged evolution, logic and prospect of global information policy research in the past 50 years[J]. Library and information service, 2022, 66(20):32-44.)
[2] 尚虎平.政府注意力的分配与改善路径[J].人民论坛, 2022(7):56-60.(SHANG H P. Allocation of government attention and improvement[J]. People's tribune, 2022(7):56-60.)
[3] JENNINGS W, JOHN P. The dynamics of political attention:public opinion and the queen's speech in the United Kingdom[J]. American journal of political science, 2009, 53(4):838-854.
[4] 代凯.注意力分配:研究政府行为的新视角[J].理论月刊, 2017(3):107-112.(DAI K. Attention allocation:a new perspective on government behavior[J]. Theory monthly, 2017(3):107-112.)
[5] 文宏.中国政府推进基本公共服务的注意力测量——基于中央政府工作报告(1954-2013)的文本分析[J].吉林大学社会科学学报, 2014, 54(2):20-26, 171.(WEN H. A Measurement of government's attention to basic public services in China:based on the text analysis of the central government work report (1954-2013)[J]. Jilin University journal social science edition, 2014, 54(2):20-26, 171.)
[6] 段永彪,郑烨,任由果.科技创新政策的政府注意力演变与启示——基于1978-2021年中央政府工作报告的文本分析[J].中国科技论坛, 2022(7):1-11.(DUAN Y B, ZHENG Y, REN Y G. The evolution and enlightenment of the government's attention to scientific and technological innovation policy:based on the text analysis of the central government work report from 1978 to 2021[J]. Forum on science and technology in China, 2022(7):1-11.)
[7] 郑新曼,董瑜.基于科技政策文本的程度词典构建研究[J].数据分析与知识发现, 2021, 5(10):81-93.(ZHENG X M, DONG Y. Constructing degree lexicon for STI policy texts[J]. Data analysis and knowledge discovery, 2021, 5(10):81-93.)
[8] 郑新曼,董瑜.基于程度词典优化的中文科技规划文本分析[J].现代情报, 2023, 43(9):74-84.(ZHENG X M, DONG Y. Text analysis of science and technology and innovation planning based on optimized degree lexicon[J]. Journal of modern information, 2023, 43(9):74-84.)
[9] 邓雪琳.改革开放以来中国政府职能转变的测量——基于国务院政府工作报告(1978-2015)的文本分析[J].中国行政管理, 2015(8):30-36.(DENG X L.A measurement of Chinese government functional transformation since reform and opening up based on text analysis of the report on the work of the government (1978-2015)[J]. Chinese public administration, 2015(8):30-36.)
[10] 安璐,吴林.融合主题与情感特征的突发事件微博舆情演化分析[J].图书情报工作, 2017, 61(15):120-129.(AN L, WU L. An integrated analysis of topical and emotional evolution of microblog public opinions on public emergencies[J]. Library and information service, 2017, 61(15):120-129.)
[11] NI X, XUE G R, LING X, et al. Exploring in the weblog space by detecting informative and affective articles[C]//Proceedings of the 16th international conference on World Wide Web. New York:Association for Computing Machinery, 2007:281-290.
[12] WANG P, JI L, YAN J, et al. Concept and attention-based CNN for question retrieval in multi-view learning[J]. ACM transactions on intelligent systems and technology, 2018, 9(4):1-24.
[13] XU H, YANG W, WANG J. Hierarchical emotion classification and emotion component analysis on Chinese micro-blog posts[J]. Expert systems with applications, 2015, 42(22):8745-8752.
[14] 张紫琼,叶强,李一军.互联网商品评论情感分析研究综述[J].管理科学学报, 2010, 13(6):84-96.(ZHANG Z Q, YE Q, LI Y J. Literature review on sentiment analysis of online product reviews[J]. Journal of management science and engineering, 2010, 13(6):84-96.)
[15] STAIANO J, GUERINI M. Depechemood:a lexicon for emotion analysis from crowd-annotated news[J]. arXiv preprint arXiv:1405.1605, 2014.
[16] 李水莲,张陈杰.不合规App隐私政策文本结构与情感倾向研究[J].青年记者, 2022,(18):57-59.(LI S L, ZHANG C J. Research on text structure and emotional tendency of non-compliant app privacy policy[J]. Youth journalist, 2022,(18):57-59.)
[17] 宋誉,周博.基于文本分析的第三方支付监管政策研究[J].法制与社会, 2021(7):99-102.(SONG Y, ZHOU B. Research on third-party payment supervision policies based on text analysis[J]. Rule by law and the society, 2021(7):99-102.)
[18] 张雨,吴俊.科技政策知识图谱构建研究[J].数字图书馆论坛, 2021(8):31-38.(ZHANG Y, WU J. Research on the construction of science and technology policy knowledge graph[J]. Digital library forum, 2021(8):31-38.)
[19] 孔媛,朱旭峰.中国国际关系智库的议题关注及态度分析[J].智库理论与实践, 2023, 8(5):65-78.(KONG Y, ZHU X F. Topic and attitude analysis of policy issues within international affairs think tanks[J]. Think tank:theory&practice, 2023, 8(5):65-78.)
[20] 王芳,朱宏智,朱健刚.我国社会组织政策主题与态度演化动因研究[J].现代情报, 2022, 42(7):3-21.(WANG F, ZHU H Z, ZHU J G. Motivation of theme and attitude evolution of social organization policies in China[J]. Modern information, 2022, 42(7):3-21.)
[21] 郑新曼.基于科技政策文本的程度词典构建与实证研究[D].北京:中国科学院文献情报中心, 2021.(ZHENG X M. Research on construction and application of degree lexicon based on STI policy texts[D]. Beijing:National Science Library, Chinese Academy of Sciences, 2021.)
[22] SIMON H A. Administrative behaviour:a study of decision making processes in administrative organizations[J]. Administrative science quarterly, 1947, 2(2):244.
[23] 庞明礼.领导高度重视:一种科层运作的注意力分配方式[J].中国行政管理, 2019(4):93-99.(PANG M L. Leaders attach great importance:an attention distribution approach of bureaucratic operation[J]. Chinese public administration, 2019(4):93-99.)
[24] 文宏,杜菲菲.注意力、政策动机与政策行为的演进逻辑——基于中央政府环境保护政策进程(2008-2015年)的考察[J].行政论坛, 2018, 25(2):80-87.(WENG H, DU F F. The evolution logic of attention, policy motivation and policy behavior:based on the inspection of process of central government's environmental protection policy from 2008 to 2015[J]. Administrative tribune, 2018, 25(2):80-87.)
[25] 柏必成.改革开放以来我国住房政策变迁的动力分析——以多源流理论为视角[J].公共管理学报, 2010, 7(4):76-85, 126.(BAI B C. Analysis on the dynamics of Chinese housing policy changes since reform and opening-up:from the perspective of multiple-streams framework[J]. Journal of public management, 2010, 7(4):76-85, 126.)
[26] 粟锋,曹宇轩,黄晞,等.拜登政府国家情报战略的注意力分配及其实践启示——基于对美国2023年《国家情报战略》的解析[J].情报杂志, 2024, 43(1):21-27.(SU F, CAO Y X, HUANG X, et al. The attention allocation of Biden administration's national intelligence strategy and its practical implications:analysis based on the 2023 National Intelligence Strategy of the United States[J]. Journal of intelligence, 2024, 43(1):21-27.)
[27] 许治,张建超.新中国成立以来政府对科技人才注意力研究——基于国务院政府工作报告(1954-2019年)文本分析[J].科学学与科学技术管理, 2020, 41(2):19-32.(XU Z, ZHANG J C.A study on the government's attention to scientific and technological talents since the founding of new China:based on the text analysis of the government work report (1954-2019)[J]. Science of science and management of S.&.T., 2020, 41(2):19-32.)
[28] 王洛忠,陈宇,都梦蝶.中央政府对信息化的注意力研究——基于1997-2019年国务院《政府工作报告》内容分析[J].理论探讨, 2019(5):177-182.(WANG L Z, CHEN Y, DU M D. On the attention of central government to informationization:based on the contents of the"government work report"of the state council from 1997 to 2019[J]. Theoretical investigation, 2019(5):177-182.)
[29] FRAGOPANAGOS N, TAYLOR J G. Modelling the interaction of attention and emotion[J]. Neurocomputing, 2006, 69(16/18):1977-1983.
[30] 李娜,姜恩波,朱一真,等.政策工具自动识别方法与实证研究[J].图书情报工作, 2021, 65(7):115-122.(LI N, JIANG E B, ZHU Y Z, et al. Policy tool identification method and empirical research based on deep learning[J]. Library and information service, 2021, 65(7):115-122.)
[31] 胡吉明,杨泽贤,朱国伟,等.中国政府在做什么——基于词汇关联的《政府工作报告》内容结构分析[J].信息资源管理学报, 2023, 13(1):115-128.(HU J M, YANG Z X, ZHU G W, et al. What is the Chinese government doing:a content structure network analysis of Chinese government work report based on word correlation[J]. Journal of information resources management, 2023, 13(1):115-128.)
[32] 国务院新闻办公室.解读《政府工作报告》修改情况[EB/OL].[2024-01-17]. https://www.gov.cn/xinwen/2021-03/13/content_5592798.htm. (The State Council Information Office of the People's Republic of China. Briefing on revision of government work report[EB/OL].[2024-01-17]. https://www.gov.cn/xinwen/2021-03/13/content_5592798.htm.)
[33] 孙柏瑛,周保民.政府注意力分配研究述评:理论溯源、现状及展望[J].公共管理与政策评论, 2022, 11(5):156-168.(SUN B Y, ZHOU B M. A review on government attention distribution:theoretical basis, current situation and prospects[J]. Public administration and policy review, 2022, 11(5):156-168.)
[34] 曹嘉君,王曰芬,陈盛之,等.多学科交叉综合的研究领域内学科间分布状态与演化研究[J].情报学报, 2020, 39(5):459-468.(CAO J J, WANG Y F, CHEN S Z, et al. Research on the distribution and evolution of interdisciplinarity in the multidisciplinary cross-synthesis research field[J]. Journal of the China Society for Scientific and Technical Information, 2020, 39(5):459-468.)
[35] 刘自强,王效岳,白如江.多维度视角下学科主题演化可视化分析方法研究——以我国图书情报领域大数据研究为例[J].中国图书馆学报, 2016, 42(6):67-84.(LIU Z Q, WANG X Y, BAI R J. Research on visualization analysis method of discipline topics evolution from the perspective of multi-dimensions:a case study of the big data in the field of library and information science in China[J]. Journal of library science in China, 2016, 42(6):67-84.)