The Angry Tweets dataset is a collection of anonymized Danish Twitter data that has been annotated for sentiment analysis through crowd-sourcing. Here are some key details about the dataset:
Each entry in the dataset has a tweet and an associated label. The label can be "positiv", "neutral", or "negativ" for positive, neutral, and negative sentiment, respectively. The dataset is split into a training set and a test set, with the test set being 30% of the dataset, randomly sampled in a stratified fashion.
Paper | Code | Results | Date | Stars |
---|