Generating a sentiment dictionary in R and dictionary-based sentiment analysis in Turkish texts.
Dictionary-based sentiment analysis is a text mining application that allows comments about the sentimental states of the text or documents through the sentimental poles of the words. In recent years, it has become quite popular in many disciplines such as trade, health, education, usage for various...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 2; pp. 461 - 477 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jun2023
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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=164367996&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 164367996 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Jun2023 vid: 38 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 164367996 10.1093/llc/fqac093 ppf: 461 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: Generating a sentiment dictionary in R and dictionary-based sentiment analysis in Turkish texts. aug: au: Alkan, Bilal Barış Karakus, Leyla Direkci, Bekir affil: Educational Sciences, Educational Measurement and Evaluation, Akdeniz University , Antalya, Turkey Department of Turkish Education, Akdeniz University , Antalya, Turkey su: Sentiment analysis Encyclopedias & dictionaries Text mining Turkish language User-generated content German language sug: subj: Sentiment analysis Encyclopedias & dictionaries Text mining Turkish language User-generated content German language ab: Dictionary-based sentiment analysis is a text mining application that allows comments about the sentimental states of the text or documents through the sentimental poles of the words. In recent years, it has become quite popular in many disciplines such as trade, health, education, usage for various purposes. It is applied in many languages depending on the sentiment dictionaries, which are the main component, are created. Unlike inflectional languages such as English and German, the number of dictionary-based sentiment analysis studies using the Turkish language, which is a sequencing language, is very limited. When the literature of sentiment analysis is examined separately in terms of the material used; it is seen that the number of studies on long-format literary texts, which have been functioning as sentiment transmission throughout history, is also quite limited. In the light of these knowledges, a comprehensive method of creating a domain-specific sentiment dictionary and applying dictionary-based sentiment analysis on Turkish texts is proposed in the R software. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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