Establishment of NLP-Based Greenwashing Pattern Detection Service
This study aims to establish a search service that provides greenwashing pattern detection and infographic of enterprises through AI-based NLP technology. The purpose of it is to provide decision indicators by checking data on greenwashing trends of companies by users, including investment institutions and general consumers. We used a deep learning model to adopted evaluation factors to score the ‘greenwashing’ and collected the title of media data with active monitoring of companies based on those factors. In addition, construct greenwashing sentence discrimination model and a corporate greenwashing scoring model using the BERT model. As a result, a service provided scores using data collected through its keywords through visualization and the process of calculation when users input the name of the company.
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