A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPA’s LORELEI project
TABLE IV: Train dataset domain break-down
['English', 'Neg', 'Pos']
, there is considerable variance in the source of the text documents and their structure. For example, tweets only have one segment per sample whereas news articles contain an average of 7.07±4.96 and 6.31±4.93 segments for English and Spanish documents respectively. Motivated by this, we train different models for tweets and non-tweet documents in order to capture the underlying differences between the data sources.