- In this project, we investigated the role of idioms in automated approaches to sentiment analysis.
- To support idioms as features we collected a set of 580 idioms that are relevant to sentiment analysis.
- To evaluate the results of sentiment analysis, we assembled a corpus of sentences in which idioms are used in context.
- The results of sentiment analysis experiments are described in the papers cited below.
- Idioms annotated with sentiment polarity.
- Sentences that contain idioms, also annotated
with sentiment polarity.
- Local grammars that
model idioms from the list above, which have been implemented in
Mixup
language. Matched idioms can be viewed using
MinorThird (see screenshot).
An example of how to run this Mixup file can be found here.
-
Lowri Williams, Christian Bannister, Michael Arribas-Ayllon, Alun Preece, Irena Spasić (2015)
The role of idioms in sentiment analysis.
Expert Systems with Applications,
Vol. 42, No. 21, pp. 7375-7385
[DOI: 10.1016/j.eswa.2015.05.039]
-
Irena Spasić, Lowri Williams, Andreas Buerki (2017)
Idiom-based features in sentiment analysis: Cutting the Gordian knot.
IEEE Transactions on Affective Computing,
in press
[DOI: 10.1109/TAFFC.2017.2777842]