Public Sentiment Toward Solar Energy

This is a repository for a project, "Sentiment Analysis of Solar Energy Using Bidirectional Encoder Representations from Transformers".

Paper

1. Serena Y. Kim, Crystal Soderman, and Lan Sang. (2024). "Sentiment Analysis of Solar Energy in U.S. Cities: A 10-Year Analysis Using Transformer-Based Deep Learning," Under Review. 2024
2. Serena Y. Kim, Koushik Ganesan, Princess Dickens, Soumya Panda, "Public Sentiment Toward Solar Energy: Opinion Mining of Twitter Using a Transformer-Based Language Model," Sustainability. 2021.

Data Access

https://solarsentiment.org

Our analysis and code are built upon:

1. BERT by Google Research: https://github.com/google-research/bert
2. RoBERTa Model: https://huggingface.co/transformers/model_doc/roberta.html
3. TensorFlow: https://www.tensorflow.org/official_models/fine_tuning_bert
4. Transformers: https://github.com/huggingface/transformers