Automatic Summarization of Book Reviews Based on Fine-Grained Review Mining
Zhang Chengzhi1, Tong Tiantian1, Zhou Qingqing2
1.Department of Information Management, Nanjing University of Science & Technology, Nanjing 210094 2.Department of Network and New Media, Nanjing Normal University, Nanjing 210023
1 何峻. 我国图书评价现状分析[J]. 大学图书馆学报, 2012, 30(3): 106-110. 2 黄文彬, 倪少康. 多文档自动摘要方法的进展研究[J]. 情报科学, 2017, 35(4): 160-165. 3 祝振媛. 基于信息分类的网络书评多文档自动文摘研究[D]. 南京: 南京大学, 2013. 4 Sharifi B P, Inouye D I, Kalita J K. Summarization of twitter microblogs[J]. The Computer Journal, 2014, 57(3): 378-402. 5 章成志, 童甜甜, 周清清. 整合不同评论平台的图书综合影响力评价研究[J]. 情报学报, 2018, 37(9): 861-873. 6 明拓思宇, 陈鸿昶. 文本摘要研究进展与趋势[J]. 网络与信息安全学报, 2018, 4(6): 1-10. 7 Beineke P, Hastie T, Manning C, et al. Exploring sentiment summarization[C]// Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications. Palo Alto: AAAI Press, 2004: 1-4. 8 Khabiri E, Caverlee J, Hsu C F. Summarizing user-contributed comments[C]// Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. Palo Alto: AAAI Press, 2011: 534-537. 9 Nishikawa H, Hasegawa T, Matsuo Y, et al. Opinion summarization with integer linear programming formulation for sentence extraction and ordering[C]// Proceedings of the 23rd International Conference on Computational Linguistics: Posters. Stroudsburg: Association for Computational Linguistics, 2010: 910-918. 10 Titov I, McDonald R. A joint model of text and aspect ratings for sentiment summarization[C]// Proceedings of the 2008 Association for Computational Linguistics. Stroudsburg: Association for Computational Linguistics, 2008: 308-316. 11 Ma Z Y, Sun A X, Yuan Q, et al. Topic-driven reader comments summarization[C]// Proceedings of the 21st ACM International Conference on Information and Knowledge Management. New York: ACM Press, 2012: 265-274. 12 刘德喜, 万常选. 社会化短文本自动摘要研究综述[J]. 小型微型计算机系统, 2013, 34(12): 2764-2771. 13 Trappey A J C, Trappey C V, Wu C Y. Automatic patent document summarization for collaborative knowledge systems and services[J]. Journal of Systems Science and Systems Engineering, 2009, 18(1): 71-94. 14 Lu Y, Zhai C X, Sundaresan N. Rated aspect summarization of short comments[C]// Proceedings of the 18th International Conference on World Wide Web. New York: ACM Press, 2009: 131-140. 15 Ganesan K, Zhai C X, Han J W. Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions[C]// Proceedings of the 23rd International Conference on Computational Linguistics. Stroudsburg: Association for Computational Linguistics, 2010: 340-348. 16 Ganesan K. Opinion driven decision support system[D]. Chicago: University of Illinois at Urbana-Champaign, 2014. 17 Nguyen T S, Lauw H W, Tsaparas P. Review selection using micro-reviews[J]. IEEE Transactions on Knowledge and Data Engineering, 2015, 27(4): 1098-1111. 18 杨洋. 基于文献计量的中文科技图书影响力评价方法研究[D]. 北京: 中国科学技术信息研究所, 2012. 19 Gorraiz J, Gumpenberger C, Purnell P J. The power of book reviews: a simple and transparent enhancement approach for book citation indexes[J]. Scientometrics, 2014, 98(2): 841-852. 20 Kousha K, Thelwall M. Alternative metrics for book impact assessment: can choice reviews be a useful source?[C]// Proceedings of the 15th International Conference on Scientometrics and Informetrics. 2015: 59-70. 21 Zuccala A A, Verleysen F T, Cornacchia R, et al. Altmetrics for the humanities comparing goodreads reader ratings with citations to history books[J]. Aslib Journal of Information Management, 2015, 67(3): 320-336. 22 Kousha K, Thelwall M. Can Amazon.com reviews help to assess the wider impacts of books?[J]. Journal of the Association for Information Science and Technology, 2016, 67(3): 566-581. 23 Zhou Q Q, Zhang C Z, Zhao S X, et al. Measuring book impact based on the multi-granularity online review mining[J]. Scientometrics, 2016, 107(3): 1435-1455. 24 周清清, 章成志. 在线用户评论细粒度属性抽取[J]. 情报学报, 2017, 36(5): 484-493. 25 Goldberg Y, Levy O. word2vec explained: deriving Mikolovet al.'s negative-sampling word-embedding method[OL]. (2014-02-15). https://arxiv.org/pdf/1402.3722.pdf. 26 Frey B J, Dueck D. Clustering by passing messages between data points[J]. Science, 2007, 315(5814): 972-976. 27 余珊珊, 苏锦钿, 李鹏飞. 基于改进的TextRank的自动摘要提取方法[J]. 计算机科学, 2016, 43(6): 240-247. 28 Choice: current reviews for academic libraries-wikipedia[EB/OL]. [2018-08-11]. https://en.wikipedia.org/wiki/. 29 Amazon-wikipedia[EB/OL]. [2018-08-11]. https://en.wikipedia.org/wiki/Amazon. 30 周清清. 基于多源异构数据的图书影响力评价研究[D]. 南京: 南京理工大学, 2018. 31 Blei D M, Ng A Y, Jordan M I. Latent Dirichlet allocation[J]. Journal of Machine Learning Research, 2003, 3(1): 993-1022. 32 Pietquin O, Hastie H. A survey on metrics for the evaluation of user simulations[J]. The Knowledge Engineering Review, 2013, 28(1): 59-73.