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    Online Public Opinion Mining for Large Cross-Regional Projects: Case Study of the South-to-North Water Diversion Project in China

    Source: Journal of Management in Engineering:;2021:;Volume ( 038 ):;issue: 001::page 05021011
    Author:
    Xin Wan
    ,
    Rubing Wang
    ,
    Minye Wang
    ,
    Jiran Deng
    ,
    Zhipeng Zhou
    ,
    Xin Yi
    ,
    Junnan Pan
    ,
    Yifan Du
    DOI: 10.1061/(ASCE)ME.1943-5479.0000970
    Publisher: ASCE
    Abstract: Public perspective has long been ignored in ex-post evaluation of large cross-regional projects (LCPs), and the emergence of online public participation affords the opportunity to obtain and analyze public opinions from a wide range. Taking the South-to-North Water Diversion Project (SNWDP) as a typical LCP case, this study explored in depth the diverse and regionalized impacts of the project as reflected in online public opinion by developing an evaluation framework integrating post intensity, sentiment, and topic analyses. Leveraging lexicon-based sentiment analysis and latent Dirichlet allocation–based topic modeling technologies, patterns of public sentiments and topics were identified from spatial and temporal perspectives. The results showed that post intensity and public sentiment were significantly affected by project-related major events. A comparison of the water-donating and -receiving areas suggested that people in the water-receiving area had a more attentive and active attitude toward the project, and those in the water-donating area were predisposed to be more vigilant to negative events. Moreover, the variation of public sentiment across regions was found to largely depend on local social context. With regard to topic analysis, people in the water-donating and -receiving areas were more likely to focus on topics directly associated with their own interests, while the feasibility of the SNWDP garnered attention from both areas. In addition, project functions and significance as well as topical issues related to engineering corruption, water pollution, and security aroused widespread attention in all the areas under study. This study contributes to the literature on ex-post evaluation and public participation in the context of LCPs by incorporating online public opinion into the evaluation framework. The findings provide valuable insights for developing policies and strategies to improve the management of projects and to achieve an inclusive development process for projects of this type.
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      Online Public Opinion Mining for Large Cross-Regional Projects: Case Study of the South-to-North Water Diversion Project in China

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4281792
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    • Journal of Management in Engineering

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    contributor authorXin Wan
    contributor authorRubing Wang
    contributor authorMinye Wang
    contributor authorJiran Deng
    contributor authorZhipeng Zhou
    contributor authorXin Yi
    contributor authorJunnan Pan
    contributor authorYifan Du
    date accessioned2022-05-07T19:53:44Z
    date available2022-05-07T19:53:44Z
    date issued2021-09-24
    identifier other(ASCE)ME.1943-5479.0000970.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4281792
    description abstractPublic perspective has long been ignored in ex-post evaluation of large cross-regional projects (LCPs), and the emergence of online public participation affords the opportunity to obtain and analyze public opinions from a wide range. Taking the South-to-North Water Diversion Project (SNWDP) as a typical LCP case, this study explored in depth the diverse and regionalized impacts of the project as reflected in online public opinion by developing an evaluation framework integrating post intensity, sentiment, and topic analyses. Leveraging lexicon-based sentiment analysis and latent Dirichlet allocation–based topic modeling technologies, patterns of public sentiments and topics were identified from spatial and temporal perspectives. The results showed that post intensity and public sentiment were significantly affected by project-related major events. A comparison of the water-donating and -receiving areas suggested that people in the water-receiving area had a more attentive and active attitude toward the project, and those in the water-donating area were predisposed to be more vigilant to negative events. Moreover, the variation of public sentiment across regions was found to largely depend on local social context. With regard to topic analysis, people in the water-donating and -receiving areas were more likely to focus on topics directly associated with their own interests, while the feasibility of the SNWDP garnered attention from both areas. In addition, project functions and significance as well as topical issues related to engineering corruption, water pollution, and security aroused widespread attention in all the areas under study. This study contributes to the literature on ex-post evaluation and public participation in the context of LCPs by incorporating online public opinion into the evaluation framework. The findings provide valuable insights for developing policies and strategies to improve the management of projects and to achieve an inclusive development process for projects of this type.
    publisherASCE
    titleOnline Public Opinion Mining for Large Cross-Regional Projects: Case Study of the South-to-North Water Diversion Project in China
    typeJournal Paper
    journal volume38
    journal issue1
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000970
    journal fristpage05021011
    journal lastpage05021011-18
    page18
    treeJournal of Management in Engineering:;2021:;Volume ( 038 ):;issue: 001
    contenttypeFulltext
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