Analysing Public Sentiment Towards Climate Change Using Natural Language Processing

Abstract

Climate change's effects on people's well-being provide new and varied concerns. These risks are expected to intensify and pose a continued threat to human safety unless decisive action is taken based on credible data. The ever-increasing progress in data and The broad availability and use of social media platforms have been made possible by advancements in communication technology. People voice their views on a variety of topics, including the critical problem of climate change, via social media sites like Twitter and Facebook. With so much content on social media on climate change, it's important to sift through it all to find the good stuff. To assess the tone of climate change-related tweets, this study uses natural language processing (NLP) methods. ClimateBERT, a pre-prepared model particularly tailored to the field of atmosphere change, is an individual instance. The aim is to identify patterns in the public's perception of climate change and comprehend people's emotions towards it.