[1] 马张华.信息组织[M].北京:清华大学出版社,2001.
[2] 白华. 用户标注的词语网络与语义描述[J]. 图书情报工作, 2010, 54(2):70-73.
[3] 孙茂松.基于互联网自然标注资源的自然语言处理[J].中文信息学报,2011,25(6):26-32.
[4] 章成志. 基于集成学习的自动标引方法研究[J]. 情报学报, 2010, 29(1):3-8.
[5] 李纲,戴强斌. 基于词汇链的关键词自动标引方法[J]. 图书情报知识, 2011(3):67-71.
[6] 曹树金,周小又,陈桂鸿. 网络舆情监控系统中的主题帖自动标引及情感倾向分析研究[J]. 图书情报知识, 2012(1):66-73.
[7] 王丹,杨晓蓉. 自动标引中的歧义词消除方法研究[J]. 图书情报工作, 2014, 58(5):93-97.
[8] DE CAMPOS L M, FERNÁNDEZ-LUNA J M, HUETE J F, et al. Automatic indexing from a thesaurus using Bayesian networks:application to the classification of parliamentary initiatives[C]//European conference on symbolic and quantitative approaches to reasoning and uncertainty. Berlin:Springer Berlin Heidelberg, 2007:865-877.
[9] MEDELYAN O, WITTEN I H. Thesaurus based automatic keyphrase indexing[C]//Proceedings of the 6th ACM/IEEE-CS joint conference on digital libraries. New York:ACM, 2006:296-297.
[10] MERROUNI Z A, FRIKH B, OUHBI B. Automatic keyphrase extraction:an overview of the state of the art[C]//IEEE international colloquium on information science and technology. Piscataway:IEEE, 2017:306-313.
[11] 李枫林,张景. 基于用户标注行为的相关性分析及重排序[J]. 情报理论与实践, 2010(10):57-61.
[12] 吴丹,许小梅. 图书馆与图书分享网站的用户标注行为比较研究[J]. 图书情报知识, 2013(1):85-93.
[13] 谢佳琳,张晋朝. 高校图书馆用户标注行为研究——以信息系统成功模型为视角[J]. 图书馆论坛, 2014(11):87-93.
[14] PATTERSON J, DOUGALL S, MOODY N. Systems and methods for manipulating user annotations in electronic books:United States Patent,8520025[P]. 2013-08-27.
[15] ZARRO M A, ALLEN R B. User-contributed annotations for libraries and cultural institutions[EB/OL].[2017-06-26]. http://mikezarro.com/docs/Zarro-LRS-V-Poster.pdf.
[16] ZHANG Y Y, ZHANG C Z,CHEN G, et al. Analyzing scientific user tagging behavior on academic blogs according to tag's content characteristics-a preliminary study[EB/OL].[2017-06-26].https://www.ideals.illinois.edu/bitstream/handle/2142/96741/3.62_419_Zhang-Analyzing%20scientific%20user%20tagging%20behavior%20on%20academic%20blogs%20according.pdf?sequence=1&isAllowed=y.
[17] PAN X, HE S, ZHU X, et al. How users employ various popular tags to annotate resources in social tagging:an empirical study[J]. Journal of the Association for Information Science & Technology, 2016, 67(5):1121-1137.
[18] 马费成,张斌. 图书标注环境下用户的认知特征[J]. 中国图书馆学报, 2014(1):4-14.
[19] 常唯. 论网络环境下用户标注的价值与应用[J]. 图书情报工作, 2008, 52(1):9-12.
[20] AIZAWA A. An information-theoretic perspective of tf-idf measures[J].Information processing and management,2003,39(1):45-65.
[21] 路永和, 李焰锋. 改进TE-IDF算法的文本特征项权值计算方法[J]. 图书情报工作, 2013, 57(3):90-95.
[22] 覃世安, 李法运. 文本分类中TF-IDF方法的改进研究[J]. 现代图书情报技术, 2013, 29(10):27-30.
[23] 刘勘,周丽红,陈譞. 基于关键词的科技文献聚类研究[J]. 图书情报工作, 2012, 56(4):6-11.
[24] SAMOYLOV A B. Evaluation of the delta TF-IDF features for sentiment analysis[C]//International conference on analysis of images, social networks and texts_x000D_. Berlin:Springer, 2014:207-212.
[25] PHILIP S, SHOLA P B, OVYE A. Application of content-based approach in research paper recommendation system for a digital library[J]. International journal of advanced computer science & applications, 2014, 5(10):37-40.
[26] Xu R. POS weighted TF-IDF algorithm and its application for an MOOC search engine[C]//International conference on audio, language and image processing. Piscataway:IEEE, 2015:868-873.
[27] DADGAR S M H, ARAGHI M S, FARAHANI M M. A novel text mining approach based on TF-IDF and support vector machine for news classification[EB/OL].[2017-06-26]. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7569223. |