SerenaYKim / Solar-Sentiment-BERT

Sentiment Analysis of Solar Energy Using Bidirectional Encoder Representations from Transformers

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). "Public sentiment toward solar energy in the United States: 2013-2022," 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.

Code

Data

Reference

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