SentiTurkNet: a Turkish polarity lexicon for sentiment analysis
Sentiment analysis aims to extract the sentiment polarity of given segment of text. Polarity resources that indicate the sentiment polarity of words are commonly used in different approaches. While English is the richest language in regard to having such resources, the majority of other languages, i...
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Veröffentlicht in: | Language Resources and Evaluation 2016-09, Vol.50 (3), p.667-685 |
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creator | Dehkharghani, Rahim Saygin, Yucel Yanikoglu, Berrin Oflazer, Kemal |
description | Sentiment analysis aims to extract the sentiment polarity of given segment of text. Polarity resources that indicate the sentiment polarity of words are commonly used in different approaches. While English is the richest language in regard to having such resources, the majority of other languages, including Turkish, lack polarity resources. In this work we present the first comprehensive Turkish polarity resource, SentiTurkNet, where three polarity scores are assigned to each synset in the Turkish WordNet, indicating its positivity, negativity, and objectivity (neutrality) levels. Our method is general and applicable to other languages. Evaluation results for Turkish show that the polarity scores obtained through this method are more accurate compared to those obtained through direct translation (mapping) from SentiWordNet. |
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subjects | Adjectives Common sense knowledge Computational Linguistics Computer Science Data mining English language Film criticism Hierarchical relationships Language Language and Literature Languages Lexicon Linguistics Machine learning Natural language processing Polarity PROJECT NOTES Sentiment analysis Social Sciences Synonyms Turkish language Words |
title | SentiTurkNet: a Turkish polarity lexicon for sentiment analysis |
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