  Sentiment analysis and opinion mining is an important task with obvious
application areas in social media, e.g. when indicating hate speech and fake
news. In our survey of previous work, we note that there is no large-scale
social media data set with sentiment polarity annotations for Finnish. This
publications aims to remedy this shortcoming by introducing a 27,000 sentence
data set annotated independently with sentiment polarity by three native
annotators. We had the same three annotators for the whole data set, which
provides a unique opportunity for further studies of annotator behaviour over
time. We analyse their inter-annotator agreement and provide two baselines to
validate the usefulness of the data set.
