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Stance Sentiment Emotion Corpus (SSEC)

Typ Corpus
Titel Stance Sentiment Emotion Corpus (SSEC)
Autor Roman Klinger, Hendrik Schuff, Julian Mohme, Sebastian Padó, Jeremy Barnes

Beschreibung

The SSEC corpus is an annotation of the SemEval 2016 Twitter stance and sentiment corpus with emotion labels.


Referenz

This corpus and its generation of emotion labels is described in

Hendrik Schuff, Jeremy Barnes, Julian Mohme, Sebastian Padó, and Roman Klinger. Annotation, modelling and analysis of fine-grained emotions on a stance and sentiment detection corpus. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark, 2017. Workshop at Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics. 

 

Please also consider to cite the paper which describes the annotation procedure of stance and sentiment:

Stance and Sentiment in Tweets. Saif M. Mohammad, Parinaz Sobhani, and Svetlana Kiritchenko. Special Section of the ACM Transactions on Internet Technology on Argumentation in Social Media, 2017, 17(3).


Download

A preliminary version of the corpus is available at http://www.romanklinger.de/ssec/preparecorpus.sh.gz

Please gunzip this script and start in on the shell. It will automatically download the raw Tweets and combine it with our annotations. Do you have questions? Please send a mail to roman.klinger@ims.uni-stuttgart.de.