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| || English name: || Automated methods of identifying opinion targets and opinion epressions in Polish texts || | || English name: || Computer-based methods of identifying opinion targets and opinion expressions in Polish texts || |
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| || Project Web page: || http://nlp.ipipan.waw.pl/wiki/opta (in Polish, authorization required) || | || Project Web page: || http://zil.ipipan.waw.pl/opta || |
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| The goal of the project is to investigate syntactic relations between opinion targets and opinion expressions. Involved formalisms include shallow and dependency parsing. The project involves corpus-based analyses using the National Corpus of Polish (NKJP) and the results of NEKST. | 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 == Treebank of Opinion Targets in Polish - annotated with sentiments and opinion targets v. 0.1 - [[http://zil.ipipan.waw.pl/OPTA?action=AttachFile&do=get&target=OPTA-treebank-0.1.tar.gz|download]]. Dependency Patterns for Extracting Opinion Targets in Polish with pattern matcher application v. 0.1 - [[http://zil.ipipan.waw.pl/OPTA?action=AttachFile&do=get&target=OPTA-patterns-0.1.tar.gz|download]]. |
#format wiki #language en
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
Treebank of Opinion Targets in Polish - annotated with sentiments and opinion targets v. 0.1 - download.
Dependency Patterns for Extracting Opinion Targets in Polish with pattern matcher application v. 0.1 - download.