Generated Tweets for Tobacco and E-cigarettes Intent and Sentiment Analysis using GPT-4

This dataset comprises synthetically generated tweets created using the GPT-4 language model, fine-tuned to reflect various perspectives on tobacco and e-cigarettes/vaping. The tweets are categorized into three datasets: Tobacco Intent (anti-tobacco, neutral, pro-tobacco), E-cigarettes/Vaping Intent (anti-vaping, neutral, pro-vaping,), and Sentiment Analysis (negative, neutral, positive). Expert-engineered prompts and validation by tobacco experts ensure the relevance and accuracy of the content, making this dataset a valuable resource for researchers studying public opinion and discourse on tobacco and e-cigarettes.