Türkçe Metinlerde Duygu Analizi

Year 2021, Volume: 16 Issue: 63, 1514 - 1534, 31.07.2021

Sinem Tokcaer

https://doi.org/10.19168/jyasar.928843

Cited By: 4

Abstract

Günümüzde yaygınlaşan internet ve sosyal medya kullanımının artmasıyla ortaya çıkan büyük verinin, analiz edilerek anlamlı bilgiye dönüştürülmesi oldukça büyük bir öneme sahiptir. Duygu analizinde ise, bir metin içerisinde fikir içeren verinin sistematik olarak incelenmesi ve metne dair duygu kategorisinin ve duygu polaritesinin belirlenmesi sürecidir. Sadece dil biliminde değil, finansal piyasalar, pazarlama ve sosyal medya analizi gibi birçok farklı alanda sıklıkla duygu analizi yaklaşımları kullanılmaktadır. İngilizcenin dünyada konuşulan ortak dil olması sebebiyle, literatürde İngilizce metinler üzerine yapılmış birçok duygu analizi çalışması bulunmaktadır. Ancak, Türkçe metinlerde duygu analizi hâlen geliştirilmeye açık bir araştırma alanıdır. Bu çalışmada, Türkçe metinlerde duygu analizi literatürü incelenerek, literatürde sıklıkla kullanılan yöntemler, açık kaynaklı kütüphaneler ve veri tabanları ortaya konulmuş ve araştırmaya açık konular irdelenmiştir.

Keywords

Duygu Analizi, Doğal Dil İşleme, Duygu Sınıflandırması, Duygu Polaritesi

Sentiment Analysis in Turkish Texts

Abstract

Recently, the need for analyzing and understanding the story behind big data coming from increasing use of internet and social media becomes a trend and has gained a huge impact on businesses. Sentiment analysis is a method to analyze the opinion in a text in a systematic way that it defines the sentiment category and polarity in that text. The respected areas where sentiment analysis is applied is not only limited to linguistics, but also several applications in financial markets, marketing and social media analysis are observed in the literature. Although sentiment analysis can be applied in any language, English has a dominance in the literature because it is a globally spoken language. Therefore, sentiment analysis in Turkish texts still requires further attention as an open research area. In this research, we examined the relevant literature on sentiment analysis in Turkish texts in terms of frequently applied methodologies, open source libraries and databases. Consequently, we define research gaps and further research topics in application of sentiment analysis in Turkish texts.

Keywords

Sentiment Analysis, Natural Language Processing, Sentiment Categorization, Sentiment Polarity

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