一个用于金融领域的多源实体级情感语料库：FinLin语料库。
A multi-source entity-level sentiment corpus for the financial domain: the FinLin corpus.
作者信息
Daudert Tobias
机构信息
Insight SFI Research Centre for Data Analytics, Data Science Institute, National University of Ireland, Galway, Ireland.
Lower Dangan, Newcastle Galway City, H91 AEX4 Ireland.
出版信息
Lang Resour Eval. 2022;56(1):333-356. doi: 10.1007/s10579-021-09555-3. Epub 2021 Aug 16.
UNLABELLED
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.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s10579-021-09555-3.
未标注
我们引入了FinLin，这是一个新颖的语料库，包含投资者报告、公司报告、新闻文章以及来自StockTwits的微博，目标是多个源于汽车行业的实体，并涵盖三个月的时间段。FinLin分别用范围在[-1.0, 1.0]和[0.0, 1.0]的情感得分和相关性得分进行了标注。这些标注还包括为情感选择的文本跨度，从而提供了对标注者推理的更多见解。总体而言，FinLin旨在通过提供一个新颖且公开可用的金融情感语料库来补充现有知识，并促进对金融情感分析主题以及行为科学潜在应用的研究。
补充信息
在线版本包含可在10.1007/s10579-021-09555-3获取的补充材料。
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