Climate change's impact on human health poses unprecedented and diverse challenges. Unless proactive measures based on solid evidence are implemented, these threats will likely escalate and continue to endanger human well-being. The escalating advancements in information and communication technologies have facilitated the widespread availability and utilization of social media platforms. Individuals utilize platforms such as Twitter and Facebook to express their opinions, thoughts, and critiques on diverse subjects, encompassing the pressing issue of climate change. The proliferation of climate change-related content on social media necessitates comprehensive analysis to glean meaningful insights. This paper employs natural language processing (NLP) techniques to analyze climate change discourse and quantify the sentiment of climate change-related tweets. We use ClimateBERT, a pretrained model fine-tuned specifically for the climate change domain. The objective is to discern the sentiment individuals express and uncover patterns in public opinion concerning climate change. Analyzing tweet sentiments allows a deeper comprehension of public perceptions, concerns, and emotions about this critical global challenge. The findings from this experiment unearth valuable insights into public sentiment and the entities associated with climate change discourse. Policymakers, researchers, and organizations can leverage such analyses to understand public perceptions, identify influential actors, and devise informed strategies to address climate change challenges.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. IBM today launched the Environmental Intelligence Suite, a set of AI-powered software that customers can use to prepare for climate risks that could disrupt operations. By combining AI, weather data, climate risk analytics, and carbon accounting capabilities, the Environmental Intelligence Suite can be used to help organizations assess their impact on the planet while reducing the complexity of regulatory compliance, IBM says. Companies are facing climate-related damage to their assets, as well as increasing expectations from consumers to perform as environmental leaders. McKinsey predicts that climate change could mean more disruptions in global supply chains, interrupting production and raising costs and prices.