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arXiv · 2003.04073

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

Tobias Daudert
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Abstract

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.

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Tobias Daudert. 2020-03-09. A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus. https://arxiv.org/abs/2003.04073

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