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'''word2vec vectors''' - trained on various combinations of Wikipedia and the National Corpus of Polish: [[http://mozart.ipipan.waw.pl/~axw/models/]]. |
OPTA project
Project factsheet
English name: |
Computer-based methods of identifying opinion targets and opinion expressions in Polish texts |
Polish name: |
Automatyczne metody rozpoznawania przedmiotów i wyrażeń opinii w języku polskim |
Project type: |
A National Science Centre grant 2012/05/N/ST6/03587 |
Duration: |
Jan 2013 ‒ Jan 2016 |
Project Web page: |
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Principal investigator: |
Aleksander Wawer |
Project summary
The project is focused on investigating syntactic relations between opinion targets and opinion expressions. The goal is to use available parsing techniques (eg. shallow and dependency) and machine learning to facilitate automated association of opinion expressions with their targets. The project involves corpus-based analyses based on the National Corpus of Polish (NKJP) and opinion corpora obtained in the NEKST project.
Resources
Treebanks of Opinion Targets in Polish:
Product review sentences annotated with sentiments and opinion targets: download.
A subset of Skladnica sentences annotated with sentiments and opinion targets: download.
Dependency Patterns for Extracting Opinion Targets in Polish with pattern matching code: download.
OPFI - Opinion Finder - a hybrid (CRF+patterns) application for extracting opinion targets in Polish: download.
word2vec vectors - trained on various combinations of Wikipedia and the National Corpus of Polish: http://mozart.ipipan.waw.pl/~axw/models/.