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The SSIX Corpora: Three Gold Standard Corpora for Sentiment Analysis in English, Spanish and German Financial Microblogs

Authors: 

Thomas Gaillat, Manel Zarrouk, André Freitas, Brian Davis

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
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.
Conference Name: 
The Language Resources and Evaluation Conference
Proceedings: 
LREC 2018, Eleventh International Conference on Language Resources and Evaluation
Digital Object Identifer (DOI): 
10.5281/zenodo.1247055
Publication Date: 
07/05/2018
Conference Location: 
Japan
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: