參考文獻 |
﹝1﹞ Hal R. Varian, 1999, “Economics and search,” Newsletter ACM SIGIR Forum, pp. 1 – 5
﹝2﹞ Canhui Wang, Min Zhang, Shaoping Ma, Liyun Ru, 20081, “Automatic Online News Issue Construction in Web Environment, ” Proceedings of the 17th international conference on World Wide Web, pp. 457-466
﹝3﹞ Ratkiewicz, J., Menczer, F., Fortunato, S., Flammini, A., and Vespignani, A., 2010, “Characterizing and modeling the dynamics of online popularity,” Physical Review Letters, Vol.105.
﹝4﹞ Hong, L., Dan, O., and Davison, B. D., 2011, “Predicting popular messages in Twitter,” Proceeding of International World Wide Web Conference, pp. 57–58.
﹝5﹞ Yu, B., Chen, M., and Kwok, L., 2011, “Toward predicting popularity of social marketing messages,” Computer Science, Vol.6589, pp. 317–324.
﹝6﹞ Cao, Q., Duan, W., and Gan, Q., 2011, “Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach,” Decision Support Systems, Vol.50, pp. 511-521
﹝7﹞ Kevin Lerman, Ari Gilder, Mark Dredze, Fernando Pereira, 2008 “ Reading the markets: forecasting public opinion of political candidates by news analysis,” Proceeding COLING ’08 Proceedings of the 22nd International Conference on Computational Linguistics, pp. 473-480
﹝8﹞ Gaugaz, J., Siehndel, P., Demartini, G., Iofciu, T., Georgescu, M., Henze, N., 2012, “Predicting the future impact of news events,” Lecture Notes in Computer Science, pp. 50-62
﹝9﹞ Krestel, R., Mehta, B., 2010, “Predicting news story importance using language features,” Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 211-218
﹝10﹞ Tikves, S., Davulcu, H., 2010, “ImpactRank: A study on news impact forecasting,”Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, pp. 488-493
﹝11﹞ Jonah Berger, Katherine L. Milkman ,2012. “ What Makes Online Content Viral?,” Journal of Marketing Research: Vol. 49, No. 2, pp. 192-205.
﹝12﹞ Gaughan, G., Smeato, A.F., 2005, “Finding new news: Novelty detection in broadcast news,” Lecture Notes in Computer Science, pp. 583-588
﹝13﹞ Juanzi Li, Qi’na Fan, Kuo Zhang, 2007, “Keyword extraction based on tf/idf for Chinese news document,”Wuhan University Journal of Natural Sciences, pp 917-921
﹝14﹞ Sungjick Lee, Han-Joon Kim, 2008, “News Keyword Extraction for Topic Tracking,”Proceeding NCM ’08 Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management, pp. 554-559
﹝15﹞ Ku, L.-W., Liang, Y.-T., and Chen, H.-H., 2006, “Opinion extraction, summarization and tracking in news and blog corpora,” American Association for Artificial Intelligence, pp. 100–107.
﹝16﹞ Silva, C., and Ribeiro, B. “The importance of stop word removal on recall values in text categorization,” Proceedings of the International Joint Conference on Neural Networks, Vol.3, pp. 1661-1666.
﹝17﹞ Zhou, Y., and Cao, Z., 2011, “Research on the Construction and Filter Method of Stop-word List in Text Preprocessing,” Fourth International Conference on Intelligent Computation Technology and Automation, pp. 217–221.
﹝18﹞ C.-C. Chang and C.-J. Lin. LIBSVM : a library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1--27:27, 2011.
﹝19﹞ R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification Journal of Machine Learning Research 9(2008), 1871-1874. |