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...
| Publicado en: | Language Resources & Evaluation Vol. 50; no. 3; pp. 667 - 686 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Sep2016
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=117418395&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 117418395 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2016 vid: 50 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 117418395 10.1007/s10579-015-9307-6 ppf: 667 ppct: 19 formats: fmt: @attributes: type: P size: 512KB tig: atl: SentiTurkNet: a Turkish polarity lexicon for sentiment analysis. aug: au: Dehkharghani, Rahim Saygin, Yucel Yanikoglu, Berrin Oflazer, Kemal affil: Faculty of Engineering and Natural Sciences , Sabancı University , 34956 Istanbul Turkey Computer Science Program , Carnegie Mellon University-Qatar , Education City Doha Qatar su: Sentiment analysis Polarity Turkish language Translating & interpreting Cartography sug: subj: Sentiment analysis Polarity Turkish language Translating & interpreting Cartography keyword: Polarity extraction Polarity lexicon Turkish WordNet ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2016. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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