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題名：微網誌短句的情感指數分析--以新浪微博為例
書刊名：資訊管理學報
作者：楊亨利／林青峰
作者(外文)：Yang, Heng-li／Lin, Qing-feng
出版日期：2017
卷期：24:1
頁次：頁1-28
主題關鍵詞：微網誌；情緒分析；意見分析；情感指數；演化策略；Microblog；Emotion mining；Opinion mining；Index of emotion
原始連結：連回原系統網址new window
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  • 被引用次數被引用次數:期刊(3) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:4
  • 點閱點閱:7
隨著個人網誌與社群網路的發展，從個人社群網誌去分析發言資料、互動記 錄、交友狀況等最後找出可用的規則，已成為熱門的分析應用。本研究經由分析 作者在微網誌發表的狀態文句，希望除了能找出作者的正 / 負面意見傾向外，更 進一步能瞭解作者撰文時可能蘊含的情緒。我們提出一個新的方法，以大陸的新 浪微博為例，首先利用演化策略的方法，我們可以建立對微網誌作者正向情緒分 類器與負向情緒分類器。若有需要，正負向亦可區分為非常正 / 非常負向、正 / 負向兩類別。實驗結果顯示，我們分類的效果在精準率、召回率、F1 分數均達令 人滿意水準。其次，我們開發了能找出作者的情感指數推估系統；該系統利用迴 歸方法可經由分析作者在其微網誌上輸入的狀態文句，推估作者想表達的心情， 給予一個幸福指數；其他的情感（如：喜樂、憤怒、悲傷、厭噁、恐懼）指數也 能類似地建立。
Purpose－This study aims to propose an approach for mining positive/negative opinions and estimating an emotion index of sentences in microblog website. Design/methodology/approach－After reviewing the related literatures, we proposed an ontology-based approach by using ConceptNet and evolution strategic for mining positive/negative opinions from short sentences posted in a microblog, Weibo.com. Applying regression analysis, we also built a prototype system to estimate its implied emotion. Findings－Using the experiment data, we can build a positive classifier to provide positive sentiment cluster and negative classifier to provide negative sentiment cluster with five or three scales. The levels of precision and recall rates, and F1 scores for those classifiers are satisfactory. In addition, our system can give an index of happiness. Research limitations/implications－The future study can collect more sentences for testing and try other micro-blog or regular blog sites. The efficiency can be also further enhanced. Practical implications－Practically, businesses can apply our proposed approach Xto understand the emotion of the customers after purchasing their products/services. Social workers or police departments might identify persons with suicidal potentials at the early stage from the web. Originality/value－The academic contribution is to propose a new approach to discover possible emotion.
期刊論文
1.Beyer, H. G.、Schwefel, H.(2002)。Evolution strategies: A comprehensive introduction。Journal of Natural Computing，1(1)，3-52。  new window
2.賴正育、楊亨利(20120100)。微網誌使用的需求動機及其影響。資訊管理學報，19(1)，81-103。new window  延伸查詢new window
3.Ortony, Andrew、Turner, T. J.(1990)。What's basic about basic emotions?。Psychological Review，97(3)，315-331。  new window
4.Zhang, Changli、Zeng, Daniel、Li, Jiexun、Wang, Fei-Yue、Zuo, Wanli(2009)。Sentiment analysis of Chinese documents: From sentence to document level。Journal of the American Society for Information Science and Technology，60(12)，2474-2487。  new window
5.Turney, Peter D.、Littman, Michael L.(2003)。Measuring praise and criticism: Inference of semantic orientation from association。ACM Transactions on Information Systems，21(4)，315-346。  new window
6.蕭瑞祥、姜青山、曹金豐、陳柏翰(20150700)。基於中文語法規則的情感評價單元抽取方法之研究。資訊管理學報，22(3)，243-272。new window  延伸查詢new window
7.Kontopoulos, E.、Berberidis, C.、Dergiades, T.、Bassiliades, N.(2013)。Ontology-based sentiment analysis of twitter posts。Expert Systems with Applications，40(10)，4065-4074。  new window
8.Li, N.、Wu, D. D.(2010)。Using text mining and sentiment analysis for online forums hotspot detection and forecast。Decision Support Systems，48(2)，354-368。  new window
9.Mostafa, M. M.(2013)。More Than Words: Social Networks' Text mining for consumer brand sentiments。Expert Systems with Applications，40(10)，4241-4251。  new window
10.Missen, M. M. S.、Boughanem, M.、Cabanac, G.(2013)。Opinion mining: reviewed from word to document level。Social Network Analysis and Mining，3(1)，107-125。  new window
11.Sokolova, M.、Lapalme, G.(2009)。A systematic analysis of performance measures for classification tasks。Information Processing and Management，45(4)，427-437。  new window
12.Yan, X.、Wang, J.、Chan, M.(2013)。Customer revisit intention to restaurants: Evidence from online reviews。Information Systems Frontiers，17(3)，645-657。  new window
13.Pang, Bo、Lee, Lillian(2008)。Opinion mining and sentiment analysis。Foundations and Trends in Information Retrieval，2(1/2)，1-135。  new window
會議論文
1.Hu, M.、Liu, B.(2004)。Mining and Summarizing Customer Reviews。The 10th Annual Association for Computing Machinery's Special Interest Group on Knowledge Discovery and Data Mining International Conference on Knowledge Discovery and Data Mining，(會議日期: 2004/08/22-2004/08/25)，168-177。  new window
2.Chaovalit, P.、Zhou, L.(2005)。Movie Review Mining: A Comparison between Supervised and Unsupervised Classification Approaches。The 38th Annual Hawaii International Conference on System Sciences，(會議日期: 2005/01/03-2005/01/06)。Hawaii。1-9。  new window
3.Dave, K.、Lawrence, S.、Pennock, D. M.(2003)。Mining the peanut gallery: opinion extraction and semantic classification of product reviews。International Conference of World Wide Web，(會議日期: 2003/05/20-2003/05/24)。Budapest, Hungary。519-528。  new window
4.Hu, Minqing、Liu, Bing(2004)。Mining opinion features in customer reviews。The 19th International Conference on Artifical Intelligence，(會議日期: 2004/07/25-2004/07/29)。San Jose, California：The Association for the Advancement of Artificial Intelligence。755-760。  new window
5.Liu, H.、Singh, P.(2004)。Focusing on ConceptNet's natural language knowledge representation。The 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems，(會議日期: 2004/09/20-2004/09/25)。Wellington。  new window
6.Pak, A.、Paroubek, P.(2010)。Twitter as a corpus for sentiment analysis and opinion mining。The 7th International Conference on Language Resources and Evaluation，(會議日期: 2010/05/19-2010/05/21)。Malta, European Union。1320-1326。  new window
7.Pang, B.、Lee, L.、Vaithyanathan, S.(2002)。Thumbs up? Sentiment classification using machine learning techniques。The Conference on Empirical Methods in Natural Language Processing，(會議日期: 2002/07/06-2002/07/07)。East Stroudsburg, PA：Association for Computa-tional Linguistics。79-86。  new window
8.Tsou, B. K. Y.、Yuen, R. W. M.、Kwong, O. Y.、Lai, T. B. Y.、Wong, W. L.(2005)。Polarity classification of celebrity coverage in the Chinese press。International Conference on Intelligence Analysis，(會議日期: 2005/05/02-2005/05/06)。McLean, VA, USA。  new window
9.Weng, J. Y.、Yang, C. L.、Chen, B. N.、Wang, Y. K.、Lin, S. D.(2011)。Proceedings of the 49 th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations。The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations，(會議日期: 2011/06/19-2011/06/24)。Oregon, Portland：Association for Computational Linguistics。133-138。  new window
10.Wiebe, J.、Riloff, E.(2005)。Creating subjective and objective sentence classifiers from unannotated texts。The Sixth International Conference on Intelligent Text Processing and Computational Linguistics，(會議日期: 2005/02/13-2005/02/19)。Mexico City。486-497。  new window
11.Ye, Q.、Shi, W.、Li, Y.(2006)。Sentiment classification for movie reviews in Chinese in improved semantic oriented approach。The 39th Hawaii International Conference on System Sciences，(會議日期: 2006/01/04-2006/01/07)。Kauai, Hawaii。53b-53b。  new window
12.Yuen, R. W. M.、Chan, T. Y. W.、Lai, T. B. Y.、Kwong, O. Y.、T'sou, B. K. Y.(2004)。Morpheme-based derivation of bipolar semantic orientation of Chinese words。The 20th International Conference on Computational Linguistics，(會議日期: 2004/08/23-2004/08/27)。Geneva, Switzerland：Association for Computational Linguistics。1008-1014。  new window
13.Zhang, L.、Liu, B.(2011)。Indentifying noun product features that imply opinions。The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies，(會議日期: 2011/06/19-2011/06/24)。Oregon, Portland。575-580。  new window
圖書論文
1.Liu, B.、Zhang, L.(2012)。A survey of opinion mining and sentiment analysis。Mining Text Data。New York：Springer。  new window
2.Java, A.、Song X.、Finin, T.、Tseng, B.(2009)。Why we twitter: An analysis of a microblogging community。Advances in Web Mining and Web Usage Analysis。Berlin Heidelberg：Springer。  new window
3.Liu, B.(2010)。Sentiment analysis and subjectivity。Handbook of Natural Language Processing。Boca Raton, FL：CRC Press：Taylor and Francis Group。  new window
 
 
 
 
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