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Differences in Sentiment on SNS: Comparison among Six Languages

SNS에서의 언어 간 감성 차이 연구: 6개 언어를 중심으로

  • Kim, Hyung-Ho (Dept. of Information & Logistics of Sehan University) ;
  • Jang, Phil-Sik (Dept. of Information & Logistics of Sehan University)
  • 김형호 (세한대학교 정보물류학과) ;
  • 장필식 (세한대학교 정보물류학과)
  • Received : 2016.02.01
  • Accepted : 2016.03.20
  • Published : 2016.03.28

Abstract

The purpose of this study was to explore the differences in sentiment on social networking sites among six languages (English, German, Russian, Spanish, Turkish and Dutch). A total of 204 million tweets were collected using Streaming API. Subjective/objective ratio, sentiment strength, positive/negative ratio, number of retweets and boundary impermeability were analyzed with SentiStrength to estimate the trends of emotional expression via Twitter. The results showed that subjective/objective ratio and the positive/negative ratio of tweets were significantly different by languages (p<0.001). And, there were significant effects of language on sentiment strength, boundary impermeability and the number of retweets (p<0.001). The results also indicate that the cross-cultural, language differences should be taken into account in sentiment analysis on SNS.

Acknowledgement

Supported by : 세한대학교

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