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Text-Mining Application on CSR Report Analytics: A Study of Petrochemical Industry

机译：文本挖掘在CSR报告分析中的应用：石化行业研究

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For the past few years, corporations have reinforced the importance of responsibility and promise fulfillment. Hence, traditional benefit-based management that focused on financial statements and organizations own interests no longer suffices in our society. Therefore, Corporate Social Responsibility (CSR) is starting to be taken more seriously. Due to 2014 pipeline explosion in Kaohsiung City and the food safety problem in Taiwan, corporate images have been affected in various degrees and suffer from certain negative impacts. This study conducts text-mining to determine the benchmark of environment performance indicators defined in the Global Reporting Initiative (GRI) from Top 50 petrochemical industries, and advise an example model to learning for the petrochemical industry's CSR reports with valuable information to decide on decision making and strategy planning.
机译：在过去的几年中，公司加强了责任和承诺兑现的重要性。因此，专注于财务报表和组织自身利益的基于利益的传统管理在我们的社会中已不再足够。因此，企业社会责任（CSR）开始受到重视。由于2014年高雄市管道爆炸和台湾食品安全问题，企业形象受到不同程度的影响，并受到一定的负面影响。这项研究进行文本挖掘，以确定来自全球50大石化行业的全球报告倡议（GRI）中定义的环境绩效指标的基准，并为学习石化行业CSR报告的示例模型提供有价值的信息，从而为决策制定提供参考和战略规划。

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