Drivers and Impacts of Text Mining on Climate Change

Abstract

The drivers and impacts of text mining on climate change have been extensively explored in this book. We have seen how text mining has emerged as a powerful tool for extracting insights from vast amounts of text data related to climate change. The chapters in this book have demonstrated the various applications of text mining in climate change research. The drivers of text mining on climate change include the increasing availability of text data, advancements in natural language processing, and the need for more effective climate change mitigation and adaptation strategies. Text mining has been applied to various text data sources, including scientific articles, news stories, social media posts, and government reports. The impacts of text mining on climate change have been significant, enabling researchers to identify key themes and trends, extract relevant information, and uncover hidden patterns and relationships. Text mining will become more crucial as text data volume and complexity increase in tackling the pressing issues brought on by climate change.