A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus

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

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