  We introduce FinLin, a novel corpus containing investor reports, company
reports, news articles, and microblogs from StockTwits, targeting multiple
entities stemming from the automobile industry and covering a 3-month period.
FinLin was annotated with a sentiment score and a relevance score in the range
[-1.0, 1.0] and [0.0, 1.0], respectively. The annotations also include the text
spans selected for the sentiment, thus, providing additional insight into the
annotators' reasoning. Overall, FinLin aims to complement the current knowledge
by providing a novel and publicly available financial sentiment corpus and to
foster research on the topic of financial sentiment analysis and potential
applications in behavioural science.
