OPFI: A Tool for Opinion Finding in Polish

Aleksander Wawer


Abstract
The paper contains a description of OPFI: Opinion Finder for the Polish Language, a freely available tool for opinion target extraction. The goal of the tool is opinion finding: a task of identifying tuples composed of sentiment (positive or negative) and its target (about what or whom is the sentiment expressed). OPFI is not dependent on any particular method of sentiment identification and provides a built-in sentiment dictionary as a convenient option. Technically, it contains implementations of three different modes of opinion tuple generation: one hybrid based on dependency parsing and CRF, the second based on shallow parsing and the third on deep learning, namely GRU neural network. The paper also contains a description of related language resources: two annotated treebanks and one set of tweets.
Anthology ID:
L16-1464
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2906–2909
Language:
URL:
https://aclanthology.org/L16-1464
DOI:
Bibkey:
Cite (ACL):
Aleksander Wawer. 2016. OPFI: A Tool for Opinion Finding in Polish. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2906–2909, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
OPFI: A Tool for Opinion Finding in Polish (Wawer, LREC 2016)
Copy Citation:
PDF:
https://aclanthology.org/L16-1464.pdf