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1
المؤلفون: 賴維祥, Lai, Wei-Shiang
المساهمون: 李晶, 李嘉文, Li, Ching, Lee, Chia-Wen
مصطلحات موضوعية: 關鍵字擷取, 平台更新, 使用者回饋, Google Play, key-word extraction, platform update, user feedback
وصف الملف: application/pdf
العلاقة: 60831017A-40240; https://etds.lib.ntnu.edu.tw/thesis/detail/7f5a83dead10e132bacbd8047922962bTest/; http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/118284Test
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2مؤتمر
المساهمون: 侯建良
الوقت: 26
وصف الملف: 110 bytes; application/octet-stream
العلاقة: 2004電子商務與數位生活研討會, 台北, March 26-27, 2004; http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/36714Test
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3مؤتمر
المساهمون: 侯建良
الوقت: 26
وصف الملف: 121 bytes; application/octet-stream
العلاقة: 2003電子商務與數位生活研討會論文集, 台北, April 12, 2003, pp.38-47; http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/36718Test
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4رسالة جامعية
المؤلفون: 欒喬釋, Luan, Chiao-shih
المساهمون: 林宣華 教授, 科技學院:資訊工程學系
مصطلحات موضوعية: 文本探勘, 片語擷取, 關鍵字擷取, 資料分類, Text Mining, Phrase Extraction, Keywords Extraction, Data Classification
وصف الملف: 130 bytes; text/html
العلاقة: http://ir.ncnu.edu.tw:8080/handle/310010000/15187Test; http://ir.ncnu.edu.tw:8080/bitstream/310010000/15187/1/index.htmlTest
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5
المؤلفون: 王思涵, Wang, Szu-Han
المساهمون: 柯佳伶, Koh, Jia-Ling
مصطلحات موضوعية: 問題句分類, 問題句關鍵字擷取, 自動產生問題句答案, question classification, question keywords extraction, automatic question answering, info, socio
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6رسالة جامعية
المؤلفون: 許承恩, Hsu, Cheng-En
المساهمون: 余清祥 鄭文惠, Yue, Ching-Syang Cheng, Wen-Huei
مصطلحات موضوعية: 文字探勘, 關鍵字擷取, 數位人文, 機器學習, 詞頻與文本頻率, Text mining, Keyword extraction, Digital humanities, Machine learning, Term Frequency Inverse Document Frequency, socio, edu
العلاقة: http://nccur.lib.nccu.edu.tw/bitstream/140.119/125515/1/402001.pdfTest; http://nccur.lib.nccu.edu.tw//handle/140.119/125515Test
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7رسالة جامعية
المؤلفون: 黃重鈞, Huang, Chung Chun
المساهمون: 徐國偉, Hsu, Kuo Wei
مصطلحات موضوعية: 中文遊戲論壇文件摘要, 關鍵字擷取, K-Means分群, Chinese game forum summary, keyword selection, K-means clustering
وصف الملف: 3083459 bytes; application/pdf
العلاقة: G0101753024; http://nccur.lib.nccu.edu.tw//handle/140.119/99417Test; http://nccur.lib.nccu.edu.tw/bitstream/140.119/99417/1/302401.pdfTest
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8رسالة جامعية
المؤلفون: Chi-Hao Chen, 陳期皓
المساهمون: 資訊科學與工程學系, I-En Liao, 廖宜恩
مصطلحات موضوعية: Topic Detection, Topic Evolution, Keyword Extraction, Wikipedia, Random Walk with Restart, 主題偵測, 主題歷程分析, 關鍵字擷取, 維基百科, 隨機漫步
العلاقة: U0005-0506201509322200; [1] 朱崇賓 (2009)，'使用角色及主題資訊偵測新聞事件關係，'台灣大學 電機資訊學院網路與多媒體所，碩士論文， 2009年7月。 [2] 陳克健. (2006, Oct). 中文斷詞系統 [Online]. Available: http://ckipsvr.iis.sinica.edu.twTest/ (accessed 2013, Aug 22). [3] 維基媒體基金會. 維基百科 [Online]. Available: http://en.wikipedia.orgTest/ (accessed 2013, Aug 22). [4] James Allan, 'Introduction to Topic Detection and Tracking,' in Topic Detection and Tracking, Springer US, 2002, ch.1, pp. 1-16. [5] James Allan, Jaime Carbonell, George Doddington, Jonathan Yamron and Yiming Yang, 'Topic Detection and Tracking Pilot Study Final Report,' in Proc. of the DARPA Broadcast News Transcription and Understanding Workshop, pp. 194-218, 1998. [6] James F. Allen, 'Maintaining Knowledge about Temporal Intervals,' Commun. ACM, Vol.26, No.11, pp. 832-843, 1983. [7] David M. Blei, Andrew Y. Ng and Michael I. Jordan, 'Latent Dirichlet Allocation', Journal of Machine Learning Research, vol. 3, pp. 993-1022, 2003. [8] Ahmet Bulut, 'Discovering Emerging Topics in Social Streams via Link-Anomaly Detection,' IEEE Trans. on Knowl. and Data Eng., 2014, doi:10.1109/TKDE.2014.2313868. [9] Bingjing Cai, Haiying Wang, Huiru Zheng and Hui Wang, 'An Improved Random Walk Based Clustering Algorithm for Community Detection in Complex Networks,' in Proc. of 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2162-2167, 2011. [10] His-Cheng Chang and Chiun-Chieh Hsu, 'Using Topic Keyword Clusters for Automatic Document Clustering,' in Proc. of Third International Conference on Information Technology and Applications (ICITA'2005), pp. 419-424, 2005. [11] Rudi L. Cilibrasi and Paul M. B. Vitanyi, 'The Google Similarity Distance,' IEEE Trans. on Knowl. and Data Eng., vol.19, no.3, pp. 370-383, 2007. [12] Xiang-Ying Dai, Qing-Cai Chen, Xiao-Long Wang and Jun Xu, 'Online Topic Detection and Tracking of Financial News Based on Hierarchical Clustering,' in Proc. of 9th International Conference on Machine Learning and Computing, pp. 3341-3346, 2010. [13] Jiawei Han, and Micheline Kamber, 'Mining Object, Spatial, Multimedia, Text and Web Data,' Data Mining: Concepts and Techniques, 2nd ed, San Francisco :Morgan Kaufmann Publishers Inc., 2006, ch.10, pp. 614-628. [14] Fang Jin, Nathan Self, Parang Saraf, Patrick Butler, Wei Wang and NarenRamakrishnan, 'Forex-Foreteller: Currency Trend Modeling Using News Articles,' in Proc. of 19th Int. conf. ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 1470-1473, 2013. [15] Yookyung Jo, John E. Hopcroft and Carl Lagoze, 'The Web of Topics: Discovering the Topology of Topic Evolution in a Corpus,' in Proc. of the 20th International World Wide Web Conference, pp. 257-266, 2011. [16] Karen Sparck Jones, 'A Statistical Interpretation of Term Specificity and Its Application in Retrieval,' Journal of Documentation, vol.28, pp. 11-21, 1972. [17] Rada Mihalcea and Andras Csomai, 'Wikify!: Linking documents to encyclopedic knowledge,' in Proc. of 6th Int. conf. Conference on Information and Knowledge Management, pp. 34-41, 2008. [18] Ramesh Nallapati, Ao Feng, Fuchun Peng and James Allan, 'Event Threading within News Topics,' in Proc. of the thirteenth ACM international conference on Information and knowledge management, pp. 446-453, 2004. [19] Masahiro Ohmura, Koh Kakusho and Takeshi Okadome, 'Social Mood Extraction from Twitter Posts with Document Topic Model,' in Proc. of Information Science and Applications (ICISA), pp. 1-4, 2014. [20] Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos and Pinar Duygulu , 'Automatic Multimedia Cross-Modal Correlation Discovery,' in Proc. of 10th Int. conf. ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 653-658, 2004 [21] Issei Sato and Hiroshi Nakagawa, 'Knowledge Discovery of Multiple-Topic Document Using Parametric Mixture Model with Dirichlet Prior,' in Proc. of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 590-598, 2007. [22] Anuj Sharma and Renu Dhir, 'A Wordsets Based Document Clustering Algorithm for Large Datasets,' in Proc. of International Conference on Methods and Models in Computer Science, pp. 1-7, 2009. [23] Na Shi, Xumin Liu and Yong Guan, 'Research on K-means Clustering Algorithm: an Improved K-means Clustering Algorithm,' in Proc. of Third International Symposium on Intelligent Information Technology and Security Informatics (IITSI), pp. 63-67, 2010. [24] Toshimitsu Takahashi, Ryota Tomioka and Kenji Yamanishi, 'Discovering Emerging Topics in Social Streams via Link-Anomaly Detection,' IEEE Trans. on Knowl. and Data Eng., vol.26, no.1, pp. 120-130, 2014. [25] Carlos Vicient, David Sanchez and Antonio Moreno, 'A Methodology to Discover Semantic Features from Textual Resources,' in Proc. of 2011 Sixth International Workshop on Semantic Media Adaptation and Personalization (SMAP), pp. 39-44, 2011. [26] Xiaolong Wang, Chengxiang Zhai and Dan Roth, 'Understanding Evolution of Research Themes: a Probabilistic Generative Model for Citations', in Proc. of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 1115-1123, 2013. [27] Christopher C. Yang, Xiaodong Shi and Chih-Ping Wei, 'Discovering Event Evolution Graphs from News Corpora,' IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol.39, no.4, pp. 850-863, 2009. [28] Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Thomas Pierce, Brian T. Archibald and Xin Liu, 'Learning Approaches for Detecting and Tracking News Events,' IEEE Intelligent Systems, vol.14, no.4, pp. 1541-1672, 1999.; http://hdl.handle.net/11455/90705Test
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9رسالة جامعية
المؤلفون: 吳泰勳, Wu, Tai Hsun
المساهمون: 徐國偉, Hsu, Kuo Wei
مصطلحات موضوعية: 關鍵字擷取, 單篇中文文章, Keyword Extraction, single Chinese document
الوقت: 25
وصف الملف: 5884660 bytes; application/pdf
العلاقة: [1] 計畫起緣，http://wiki.teldap.tw/index.php/%E6%95%B8%E4%BD%8D%E5%85%B8%E8%97%8F%E8%88%87%E6%95%B8%E4%BD%8D%E5%AD%B8%E7%BF%92%E5%9C%8B%E5%AE%B6%E5%9E%8B%E7%A7%91%E6%8A%80%E8%A8%88%E7%95%ABTest (2013/9/1). [2] 聯合目錄，http://catalog.digitalarchives.twTest(2013/9/1). [3] 了解數位典藏，http://digiarch.sinica.edu.tw/content/about/about.jspTest(2013/9/5). [4] 數位典藏資源網 ， http://digiarch.sinica.edu.tw/index.jspTest(2013/9/10). [5] Liu, Z., Chen, X., and Sun, M. (2012). Mining the interests of Chinese microbloggers via keyword extraction. Frontiers of Computer Science, 6(1):76–87. [6] Liu, F., Liu, F., Liu, Y. (2011). A Supervised Framework for Keyword Extraction From Meeting Transcripts. IEEE Transactions on Audio Speech and Language Processing 19, 538–548. [7] Luo, X., et al. (2008). Experimental study on the extraction and distribution of textual domain keywords. Concurrency and Computation-Practice & Experience 20(16), 1917–1932. [8] Bracewell David, B., et al. (2008). Single document keyword extraction for Internet news articles. International Journal of Innovative Computing Information and Control 4(4), 905–913. [9] Sun Yue-heng. (2005). Research of NLP Technologies Based on Statistics and its Application in Chinese Information Retrieval, Tianjing University, Tianjing, pp.27-30. [10] Dai, Y. B., Khoo, S. G. T., Loh, T. E. (1999). A new statistical formula for Chinese word segmentation incorporating contextual information. In: Proc. of the 22nd ACM SIGIR Conf. on Research and Development in Information Retrieval (pp 82–89). [11] Yu, H. K., Zhang, H. P., Liu, Q., Lv, X. Q. and Shi, S. C. (2006).Chinese named entity identification using cascaded hiddenMarkov model. Journal on Communications, 27(2), 87–94. [12] N-gram，http://en.wikipedia.org/wiki/N-gramTest(2013/8/13). [13] 蘇辰豫，在跨多語言資訊檢索中使用N-gram翻譯及維基百科翻譯解決未知詞問題，朝陽科技大學，2007。 [14] 洪大弘，基於語言模型及正反面語料知識庫之中文錯別字自動偵錯系統，朝陽科技大學，2009。 [15] 莊怡軒，英文技術文獻中動詞與其受詞之中文翻譯的語境效用，國立政治大學，2011。 [16] 王瑞平，應用平行語料建構中文斷詞組件，國立政治大學，2012。 [17] 蘇信州，TFT-LCD面板製造廠CIM客服中心之案例式推理模式建立，國立成功大學，2009。 [18] CKIP，http://ckipsvr.iis.sinica.edu.tw/intro.htmTest(2013/8/9) [19] 廖嘉新，實體論自動建構技術與其在資訊分類上之應用，國立成功大學，2002。 [20] 馮廣明，正面和負面資訊需求對資訊檢索效能之影響研究，國立台灣大學，2003。 [21] 蘇柏鳴，應用事件導向負面情緒預測網路使用者憂鬱傾向，國立成功大學，2012。 [22] 李怡欣，國小中年級社會教科書詞彙分析-以翰林版為例，國立台南大學，2012。 [23] Giarlo, M. J. (2005). A Comparative Analysis of Keyword Extraction Techniques. Rutgers,The State University of New Jersey. [24] Ercan, G., & Cicekli, I. (2007). Using Lexical Chains for Keyword Extraction. Information Processing & Management, Vol.43, Issue 6, pp. 1705-1714. [25] Dipl.-Ing. Wolfgang Nejdl. (2009). Automatic Keyword Extraction for Database Search. [26] J. D. Cohen. (1995). Language and domain-independent automatic indexing terms for abstracting. Journal of the American Society for Information Science. [27] I. Witten, G. Paynte, E. Frank, C. (1999). Gutwin, C. Nevill-Manning. KEA: practical automatic keyphrase extraction. In Proceedings of the 4th ACM Conference on Digital Library. [28] A. Hulth. (2003). Improved automatic keyword extraction given more linguistic knowledge. In Proceedings of the 2003 Conference on Emprical Methods in Natural Language Processing, Sapporo, Japan. [29] J. B. Keith Humphreys. (2002). Phraserate: An HTML keyphrase extractor. Technical Report. [30] Songhua Xu, Shaohui Yang, and Francis Chi-Moon Lau. (2010).Keyword extraction and headline generation using novel word features. In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010. AAAI Press. [31] Zhenhui Li, Ging Zhou, Yun-Fang Juan, and Jiawei Han. (2010). Keyword extraction for social snippets. In Proceedings of the WWW, pages 1143-1144. [32] X. Wu and A. Bolivar. (2008). Keyword extraction for contextual advertisement. In Proc. of WWW, pages 1195–1196. [33] Y. Matsuo, M. Ishizuka. (2004). Keyword extraction from a single document using word co-occurrence statistical information. International Journal on Artificial Intelligence Tools. [34] G. K. Palshikar. (2007). Keyword extraction from a single document using centrality measures. In Proceedings of the 2nd International Conference on Pattern Recognition and Machine Intelligence(LNCS-4815), pp. 503–510. [35] Yan Yang, Meng Qiu. (2011). Exploration and Improvement in Keyword Extraction for News Based on TFIDF. 2011 3rd International Conference on Machine Learning and Computing. [36] 詹權恩，以詞彙關聯性詞庫為基礎之文件關鍵字擷取模式，國立清華大學，2004。 [37] Hui Jiao, Qian Liu, Hui-bo Jia, (2007). Chinese Keyword Extraction Based on N-gram and Word Co-occurrence. 2007 International Conference on Computational Intelligence and Security Workshops. [38] Xinghua Li , Xindong Wu , Xuegang Hu , Fei Xie , Zhaozhong Jiang. (2008). Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages. Proceedings of the 2008 IEEE International Conference on Data Mining Workshops, p.744-751, December 15-19. [39] 撈智網， http://gainwisdom.iis.sinica.edu.tw/index.jspTest(2013/9/10). [40] Precision and recall，http://en.wikipedia.org/wiki/Precision_and_recallTest(2013/11/15). [41] Zhang Le, Lu Xue-qiang, Shen Yan-na and Yao Tian-shun, Y. (2003). A Statistical Approach to Extract Chinese Chunk Candidates from Large Corpora. 20th International Conference on Computer Processing of Oriental Languages. [42] 黃佳新，關鍵字擷取與文件分類之因子分析，國立清華大學，2004。; G0100971017; http://nccur.lib.nccu.edu.tw//handle/140.119/63217Test
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10
المؤلفون: 蘇盟舜, Meng-Shun Su
المساهمون: 資訊工程系
مصطلحات موضوعية: 關鍵字擷取, 數位學習平台, 社群網路, search keyword, e-learning, social network
الوقت: 13
وصف الملف: 143 bytes; application/octet-stream
