Text Mining and Sentiment Analysis: Enhancing Climate Change Mitigation and Environmental Sustainability

This survey paper aims at discussing how text mining and sentiment analysis are useful in enhancing climate change and environmental sustainability. Based on social media posts, policy papers, and business documents, these methods indicate customers’ attitudes, evaluate policy effectiveness, and determine corporates’ environmental initiatives. Key findings indicate they help increase public awareness, shape polices, and encourage eco-friendly practices. The paper also considers the integration with other data analytics techniques and further application to policy, research, and practice. Future directions include the development of this technology and the application of this technique in order to analyse other factors that are relevant to environmental conservation. Such a systematic method enhances the possibility of positive impact by text mining and sentiment analysis for environmental reforms.