This project aims to analyze public sentiment on Twitter regarding climate change, particularly focusing on the belief that climate change is man-made. By leveraging Natural Language Processing (NLP) and machine learning models, we identify key topics and trends in tweets to support environmental advocacy organizations and the Environmental Protection Agency (EPA) in their efforts to understand and act upon public sentiment.
This repo follows TDSP Project Structure.
- project charter
- data report
(reference info)
This is a general project directory structure for Team Data Science Process developed by Microsoft. It also contains templates for various documents that are recommended as part of executing a data science project when using TDSP.
Team Data Science Process (TDSP) is an agile, iterative, data science methodology to improve collaboration and team learning. It is supported through a lifecycle definition, standard project structure, artifact templates, and tools for productive data science.