The SSIX Corpora: Three Gold Standard Corpora for Sentiment Analysis in English, Spanish and German Financial Microblogs
Thomas Gaillat, Manel Zarrouk, André Azul Freitas, Brian P. Davis · 2018
This paper introduces the three SSIX corpora for sentiment analysis.These corpora address the need to provide annotated data for supervised learning methods.They focus on stock-market related messages extracted from two financial microblog platforms, i.e., StockTwits and Twitter.In total they include 2,886 messages with opinion targets.These messages are provided with polarity annotation set on a continuous scale by three or four experts in each language.The annotation information identifies the targets with a sentiment score.The annotation process includes manual annotation verified and consolidated by financial experts.The creation of the annotated corpora took into account principled sampling strategies as well as inter-annotator agreement before consolidation in order to maximize data quality.