Through comprehensive text mining and analysis techniques, this project aims to uncover insights, trends, and patterns in public discourse surrounding climate change. By examining diverse perspectives and opinions expressed in text data, the project seek to provide a balanced and evidence-based understanding of the topic. Methods like clustering, LDA, Decision Trees and more have been utilized to achieve the goal - which is to contribute to informed decision-making and foster greater awareness and understanding of the complex issue of climate change.
Click here to view the website created for this project, which elaborately explainsthe methods use, findings and conclusions drawn