Previous research on emotional language relied heavily on off-the-shelf sentiment dictionaries that focus on negative and positive tone. These dictionaries are often tailored to non-political domains
Please cite the following paper when using this dataset: N. Thakur, V. Su, M. Shao, K. Patel, H. Jeong, V. Knieling, and A. Bian “A labelled dataset for sentiment analysis of videos on YouTube, TikTok
This is the result of applying 11 LLM models and one standard machine learning approach for classifying sentiment in abstracts with artificial intelligence themes from PubMed. 1 stands for positive, 0
