Generating a sentiment dictionary in R and dictionary-based sentiment analysis in Turkish texts

Alkan B. B., Karakus L., Direkci B.

DIGITAL SCHOLARSHIP IN THE HUMANITIES, cilt.38, sa.2, ss.461-476, 2023 (AHCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 2
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1093/llc/fqac093
  • Dergi Adı: DIGITAL SCHOLARSHIP IN THE HUMANITIES
  • Derginin Tarandığı İndeksler: Arts and Humanities Citation Index (AHCI), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, Applied Science & Technology Source, Computer & Applied Sciences, Humanities Abstracts, Index Islamicus, INSPEC, Linguistic Bibliography, MLA - Modern Language Association Database
  • Sayfa Sayıları: ss.461-476
  • Akdeniz Üniversitesi Adresli: Evet

Özet

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.