Subsentential Sentiment on a Shoestring

(Michael Haas and Yannick Versley)

Sentiment analysis has undergone a shift from document-level analysis,
where labels express the sentiment of a whole document or whole
sentence, to subsentential approaches which assess the contribution
of indivvidual phrases, in particular including the composition of
sentiment terms and phrases such as negators and intensifiers.

Starting from a small sentiment treebank modeled after the Stanford
Sentiment Treebank of Socher et al. (2013), we investigate suitable
methods to perform compositional sentiment classification for German in
a data-scarce setting, harnessing cross-lingual methods as well as
existing general-domain lexical resources.