Public-Opinion Sentiment Analysis for Large Hydro Projects

AbstractPublic opinion is becoming increasingly involved in feasibility studies, construction, and post-evaluation of large hydro projects. Recently, with the rapid development of social network services, sentiment analysis can provide officials and managers with fresh perspectives on public-relation problems in project management. An effective sentiment analysis method can enable projects to gain from public participation. In this paper, a project sentiment analysis (PSA) system using a lexicon-based method is proposed. This system collects user opinions from social network sites, establishes emotion dictionaries, and builds basic rules that calculate those sentiment values embodied in a collection of messages. The Three Gorges project (TGP) was used as a case study for demonstrating the effectiveness of the proposed PSA. Sentiment analysis results show that about half (47.7%) of the collected messages expressed negative emotions towards the TGP, while the other messages were positive or neutral. The cas...

[1]  Zhongyuan Chen,et al.  Yangtze River of China: historical analysis of discharge variability and sediment flux , 2001 .

[2]  Ross Ihaka,et al.  Gentleman R: R: A language for data analysis and graphics , 1996 .

[3]  Bo Pang,et al.  Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.

[4]  Y. Lü,et al.  Three Gorges Project: Efforts and challenges for the environment , 2010 .

[5]  Yang Shen,et al.  Emotion mining research on micro-blog , 2009, 2009 1st IEEE Symposium on Web Society.

[6]  Derek H.T. Walker,et al.  Visualising and mapping stakeholder influence , 2005 .

[7]  Janyce Wiebe,et al.  Articles: Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis , 2009, CL.

[8]  Uzay Kaymak,et al.  Polarity analysis of texts using discourse structure , 2011, CIKM '11.

[9]  Kathleen R. McKeown,et al.  Predicting the semantic orientation of adjectives , 1997 .

[10]  David I. Cleland,et al.  Project Stakeholder Management , 2008 .

[11]  S. Joyce.  Is it worth a dam? , 1997, Environmental Health Perspectives.

[12]  Desiree Tullos,et al.  Assessing the influence of Environmental Impact Assessments on science and policy: an analysis of the Three Gorges Project. , 2009, Journal of environmental management.

[13]  Ruochen Zeng,et al.  Social responsibility of major infrastructure projects in China , 2015 .

[14]  Stephen Shaoyi Liao,et al.  Mining comparative opinions from customer reviews for Competitive Intelligence , 2011, Decis. Support Syst..

[15]  Xin Zhang,et al.  WeiboEvents: A Crowd Sourcing Weibo Visual Analytic System , 2014, 2014 IEEE Pacific Visualization Symposium.

[16]  Fei-Yue Wang,et al.  Sentiment analysis of Chinese documents: From sentence to document level , 2009 .

[17]  C. Collins,et al.  Health systems decentralization and human resources management in low and middle income countries. , 2002 .

[18]  Guoray Cai,et al.  Detecting public sentiment over PM2.5 pollution hazards through analysis of Chinese microblog , 2014, ISCRAM.

[19]  Amy McNally,et al.  Hydropower and sustainability: resilience and vulnerability in China's powersheds. , 2009, Journal of environmental management.

[20]  Ping Xie,et al.  Three-Gorges Dam: Risk to Ancient Fish , 2003, Science.

[21]  Huang He,et al.  Sentiment analysis of Sina Weibo based on semantic sentiment space model , 2013, 2013 International Conference on Management Science and Engineering 20th Annual Conference Proceedings.

[22]  William R. Lowry,et al.  Potential Focusing Projects and Policy Change , 2006 .

[23]  Yiqun Liu,et al.  Lexicon-Based Sentiment Analysis on Topical Chinese Microblog Messages , 2012, CSWS.

[24]  Wei-Hao Lin,et al.  Which Side are You on? Identifying Perspectives at the Document and Sentence Levels , 2006, CoNLL.

[25]  Gaël Dias,et al.  Merged Agreement Algorithms for Domain Independent Sentiment Analysis , 2011 .

[26]  Andrew McCallum,et al.  Chinese Segmentation and New Word Detection using Conditional Random Fields , 2004, COLING.

[27]  David Grey,et al.  Sink or Swim? Water security for growth and development , 2007 .

[28]  Wu He,et al.  International Journal of Information Management Social Media Competitive Analysis and Text Mining: a Case Study in the Pizza Industry , 2022 .

[29]  R. Müller,et al.  Maximizing strategic value from megaprojects: The influence of information-feed on decision-making by the project manager , 2012 .

[30]  Houfeng Wang,et al.  Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources , 2010, COLING.

[31]  Xuezhen Dai,et al.  China’s Not-in-My-Backyard Protest in the Process of Urbanization , 2014 .

[32]  Marcel Veenswijk,et al.  Managing public–private megaprojects: Paradoxes, complexity, and project design , 2008 .

[33]  Qiang Dong,et al.  HowNet - a hybrid language and knowledge resource , 2003, International Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003.

[34]  Philip B. Williams,et al.  The river dragon has come! : the three gorges dam and the fate of China's Yangtze River and its people , 1998 .

[35]  Hui Wang,et al.  Web-Based Traffic Sentiment Analysis: Methods and Applications , 2014, IEEE Transactions on Intelligent Transportation Systems.

[36]  Kriengsak Panuwatwanich,et al.  Quantifying the influence of environmental and water conservation attitudes on household end use water consumption. , 2011, Journal of environmental management.

[37]  C. Charoenngam,et al.  Contractual risk and liability sharing in hydropower construction , 1999 .

[38]  Chia-Hui Chang,et al.  Blogger-Centric Contextual Advertising , 2011, Expert Syst. Appl..

[39]  Chien Chin Chen,et al.  Quality evaluation of product reviews using an information quality framework , 2011, Decis. Support Syst..

[40]  Yuen-ching Bellette Lee.  Global Capital, National Development and Transnational Environmental Activism: Conflict and the Three Gorges Dam , 2013 .

[41]  Miao,et al.  Microblog Burst Keywords Detection Based on Social Trust and Dynamics Model , 2014 .

[42]  Soo-Min Kim,et al.  Determining the Sentiment of Opinions , 2004, COLING.

[43]  A. Vedlitz,et al.  Public Attitudes Toward Water Management and Drought in the United States , 2014, Water Resources Management.

[44]  Fei-Yue Wang,et al.  Agent-Based Control for Networked Traffic Management Systems , 2005, IEEE Intell. Syst..

[45]  Ling Shi,et al.  Investigations and assessment of the landslide hazards of Fengdu county in the reservoir region of the Three Gorges project on the Yangtze River , 2004 .

[46]  Siddharth Patwardhan,et al.  Feature Subsumption for Opinion Analysis , 2006, EMNLP.

[47]  Gørild M. Heggelund.  Resettlement Programmes and Environmental Capacity in the Three Gorges Dam Project , 2006 .

[48]  Dirk Neumann,et al.  Automated news reading: Stock price prediction based on financial news using context-capturing features , 2013, Decis. Support Syst..

[49]  June Sylvia Marks,et al.  Acceptance of water recycling in Australia: National baseline data , 2006 .

[50]  Qun Liu,et al.  HHMM-based Chinese Lexical Analyzer ICTCLAS , 2003, SIGHAN.

[51]  Fei Song,et al.  Feature Selection for Sentiment Analysis Based on Content and Syntax Models , 2011, Decis. Support Syst..

[52]  Zheng Yan,et al.  Present situation and future prospect of hydropower in China , 2009 .

[53]  David A. Shamma,et al.  Characterizing debate performance via aggregated twitter sentiment , 2010, CHI.

[54]  Jeonghee Yi,et al.  Sentiment analysis: capturing favorability using natural language processing , 2003, K-CAP '03.

[55]  John Suler,et al.  The Online Disinhibition Effect , 2004, Cyberpsychology Behav. Soc. Netw..

[56]  Shrikanth S. Narayanan,et al.  A System for Real-time Twitter Sentiment Analysis of 2012 U.S. Presidential Election Cycle , 2012, ACL.

[57]  Yuji Matsumoto,et al.  Collecting Evaluative Expressions for Opinion Extraction , 2004, IJCNLP.

[58]  Asimina Michailidou,et al.  Converging on euroscepticism: Online polity contestation during European Parliament elections , 2014 .

[59]  Ellen Riloff,et al.  Learning subjective nouns using extraction pattern bootstrapping , 2003, CoNLL.

[60]  Paolo Rosso,et al.  Making objective decisions from subjective data: Detecting irony in customer reviews , 2012, Decis. Support Syst..

[61]  Xijin Tang,et al.  Topics and trends of the on-line public concerns based on Tianya forum , 2014 .

[62]  Claire Cardie,et al.  Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns , 2005, HLT.

[63]  Sara Dolnicar,et al.  Desalinated versus recycled water: public perceptions and profiles of the accepters. , 2009, Journal of environmental management.

[64]  Stefan Olander,et al.  Stakeholder impact analysis in construction project management , 2007 .

[65]  Patrick X.W. Zou,et al.  Understanding the key risks in construction projects in China , 2007 .

[66]  S. Mullainathan,et al.  Do People Mean What They Say? Implications for Subjective Survey Data , 2001 .

[67]  Shlomo Argamon,et al.  Using appraisal groups for sentiment analysis , 2005, CIKM '05.

[68]  P. Burstein.  Public Opinion, Public Policy, and Democracy , 2010 .

[69]  Sheng-Tun Li,et al.  A fuzzy conceptualization model for text mining with application in opinion polarity classification , 2013, Knowl. Based Syst..

[70]  Seong Joon Yoo,et al.  Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews , 2012, Expert Syst. Appl..

[71]  John Gallaugher,et al.  Social Media and Customer Dialog Management at Starbucks , 2010, MIS Q. Executive.