[1] 唐家渝,刘知远,孙茂松.文本可视化研究综述[J].计算机辅助设计与图形学学报,2013,25(3):273-285. [2] 刘炜,叶鹰.数字人文的技术体系与理论结构探讨[J].中国图书馆学报,2017,43(5):32-41. [3] 朝乐门,张晨.数据故事化:从数据感知到数据认知[J].中国图书馆学报,2019,45(5):61-78. [4] CHEN X. Why did John Herschel fail to understand polarization? The differences between object and event concepts[J]. Studies in history and philosophy of science,2003,34(3):491-513. [5] 朝乐门.数据科学理论与实践[M].北京:清华大学出版社,2017. [6] 丁家友,唐馨雨.数字人文视角下的数据叙事及其应用研究[J/OL].情报理论与实践:1-11[2021-11-24].http://kns.cnki.net/kcms/detail/11.1762.G3.20210903.1446.004.html. [7] 伯迪克, 德鲁克, 伦恩费尔德,等.数字人文:改变知识创新与分享的游戏规则[M]. 马林青,韩若画,译.北京:中国人民大学出版社,2018:51. [8] MUNROE R.XKCD[EB/OL].[2021-10-30].https://xkcd.com/#. [9] NAZANIN D,MASOUD A.SGSG:semantic graph-based storyline generation in Twitter[J]. Journal of information science, 2019,45(3):304-321. [10] BALET O, SUBSOL, G, TORGUET P. Virtual storytelling. using virtual reality technologies for storytelling[M].Cham:Springer,2001. [11] BAL M. Story, text, and scripture-literary interests in biblical narrative-KORT, WA[J]. Theology today, 1989, 45(4):460-464. [12] TANG T,RUBAB S,LAI J W,et al.iStoryline:effective convergence to hand-drawn storylines[J]. IEEE transactions on visualization & computer graphics, 2019,25(1):769-778. [13] 佘玉轩,熊赟.基于贝叶斯网络的故事线挖掘算法[J].计算机工程,2018,44(3):55-59. [14] SU J, DAI Q, GUERIN F, et al. BERT-hLSTMs:BERT and Hierarchical LSTMs for visual storytelling[J]. Computer speech & language, 2021,67:101169-101182. [15] STAMATIADOU M E, THOIDIS I, VRYZAS N, et al. Semantic crowdsourcing of soundscapes heritage:a mojo model for data-driven storytelling[J]. Sustainability, 2021, 13(5):1-19. [16] 李培,翁伟,林琛.中文微博故事线生成方法[J].中文信息学报,2016,30(3):143-151. [17] OGAWA M, MA K L. Software evolution storylines[C]//Proceedings of the ACM 2010 symposium on software visualization. New York:ACM, 2010:35-42. [18] TANAHASHI Y, Ma K L.Design considerations for optimizing storyline visualizations[J]. IEEE transactions on visualization & computer graphics, 2012, 18(12):2679-2688. [19] 彭燕妮,樊晓平,赵颖,等.时间事件序列数据可视化综述[J].计算机辅助设计与图形学学报,2019,31(10):1698-1710. [20] LIU S, WU Y, WEI E, et al. Story flow:tracking the evolution of stories[J]. IEEE transactions on visualization & computer graphics, 2013, 19(12):2436-2445. [21] 毛辰阳.基于Spark平台及话单分析的人物关系可视化的研究与应用[D].北京:北京工业大学,2018. [22] 王东辉,朱淼良,吴春明.基于时序结构图的视频流描述方法[J].计算机学报,2001(9):944-950. [23] FELDMAN R.Techniques and applications for sentiment analysis[J]. Communications of the ACM, 2013, 56(4):82-89. [24] 陈博,陈建龙.基于文本挖掘和可视化技术的主题自动标引方法——以《英雄格萨尔》为例[J].现代情报,2019,39(8):45-51,102. [25] 欧阳剑.面向数字人文研究的大规模古籍文本可视化分析与挖掘[J].中国图书馆学报,2016,42(2):66-80. [26] COPELAND S, DE MOOR A. Community digital storytelling for collective intelligence:towards a storytelling cycle of trust[J]. AI & society,2017,33(11):101-111. [27] 王晰巍,贾若男,韦雅楠,等.社交网络舆情事件主题图谱构建及可视化研究——以校园突发事件话题为例[J].情报理论与实践,2020,43(3):17-23. [28] ZOU X M,YANG J,ZHANG J P, et al.Microblog sentiment analysis using social and topic context[J]. Plos one, 2018, 13(2):e0191163. [29] 张海涛,刘雅姝,张枭慧,等.基于模块度的话题发现及网民情感波动研究——以新浪微博"中美间贸易摩擦"话题为例[J].图书情报工作,2019,63(4):6-14. [30] MCDOWELL K.Storytelling wisdom:story, information, and DIKW[J]. Journal of the Association for Information Science and Technology, 2021,72(10):1223-1233. [31] BLEI D M, NG A Y, JORDAN M I. Latent dirichlet allocation[J]. Journal of machine learning research, 2003, 3(4/5):993-1022. [32] PONWEISER M,GRUN B.Finding scientific topics revisited[C]//Advances in latent variables.Berlin:Springer,2014:93-100. [33] 关鹏,王曰芬.科技情报分析中LDA主题模型最优主题数确定方法研究[J].现代图书情报技术,2016(9):42-50. [34] 蒋甜,刘小平,刘会洲.基于关键词关联度指标(KRI)进行LDA噪声主题过滤的方法研究[J].图书情报工作,2020,64(3):92-99. [35] PANG B,LEE L.Opinion mining and sentiment analysis[J]. Foundations & trends in information retrieval, 2008, 2(1/2):130-135. [36] 赵妍妍,秦兵,刘挺.文本情感分析[J].软件学报,2010,21(8):1834-1848. [37] 山西省图书馆.西安事变数据库[EB/OL].[2021-10-30]. http://www.sxlib.org.cn/dfzy/xasb/rwz/zxrw_18592/zxl_18593/zxlcksj_18595/zxlksls_18606/. [38] 马创新,陈小荷.文本的可视化知识表示[J].情报科学,2017,35(3):122-127. [39] KOHLER M, SONDERMANN L, FORERO L, et al. Classifying and grouping narratives with convolutional neural networks, PCA and t-SNE[C]//Proceedings of the hybrid intelligent systems. Cham:Springer, 2020:22-30. |