2016
DOI: 10.1061/(asce)co.1943-7862.0001039
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Public-Opinion Sentiment Analysis for Large Hydro Projects

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Cited by 66 publications
(34 citation statements)
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“…First, we randomly selected 200 e-mails as the training dataset each time, annotated key phrases indicating coordination, and categorized the phrases into the four processes of coordination [34]. This procedure was performed iteratively, and after 7 iterations (1400 e-mails annotated), the construct of coordination became saturated, i.e.…”
Section: Quantifying Coordination By E-mail Text Miningmentioning
confidence: 99%
See 1 more Smart Citation
“…First, we randomly selected 200 e-mails as the training dataset each time, annotated key phrases indicating coordination, and categorized the phrases into the four processes of coordination [34]. This procedure was performed iteratively, and after 7 iterations (1400 e-mails annotated), the construct of coordination became saturated, i.e.…”
Section: Quantifying Coordination By E-mail Text Miningmentioning
confidence: 99%
“…The training dataset was fed into the SVM models to select the best models, and then the best models were tested on the testing dataset. To evaluate the performance of the models, we adopted the frequently used confusion table and evaluation measures [34]. Table 1 is a typical confusion table comparing the results of SVM prediction with manul annotation.…”
Section: Quantifying Coordination By E-mail Text Miningmentioning
confidence: 99%
“…Minsker et al [51] stated that social media could be adopted to show input or rate design concepts and to assess stakeholders' opinions about sustainable and resilient infrastructure. Jiang et al [52] used data collected from Weibo.com to analyze the published words in order to assess the public attitude toward the Three Gorges project, providing a feasible method to explore the public feeling in large projects. Leung et al [35] suggested that new media should be used more in construction development projects so as to increase public participation.…”
Section: Use Of New Media In Construction Industrymentioning
confidence: 99%
“…Such projects include hydroelectric dams, offshore wind parks, oil platforms, gravel extraction, channelization, embankments, and development of marinas, ports, and touristic resorts. These approaches have already been used for social impact assessment of planned and existing hydroelectric dams on the Peace and St. John Rivers in Canada using Instagram data ( Fig 1D ) [ 67 , 68 ], as well as the Three Gorges Dam in China using sentiment analysis of news articles, forums, and blogs [ 69 ]. While they are yet to be incorporated in environmental decision-making, these methods have a great potential to become relevant part of this process, especially for large-scale projects and impacts, for which traditional social impact assessment methods may be impractical.…”
Section: Introductionmentioning
confidence: 99%