Sentiment Analysis in Latvian and Russian: A Survey

2018
Rinalds Vīksna, Gints Jēkabsons

Social networking sites such as Facebook, Twitter and VKontakte, online stores such as eBay, Amazon and Alibaba as well as many other websites allow users to share their thoughts with their peers. Often those thoughts contain not only factual information, but also users’ opinion and feelings. This subjective information may be extracted using sentiment analysis methods, which are currently a topic of active research. Most studies are carried out on the basis of texts written in English, while other languages are being less researched. The present survey focuses on research conducted on the sentiment analysis for the Latvian and Russian languages.

Keywords
Machine learning, opinion mining, sentiment analysis, sentiment classification.
DOI
10.2478/acss-2018-0006
Hyperlink
https://sciendo.com/article/10.2478/acss-2018-0006

Vīksna, R., Jēkabsons, G. Sentiment Analysis in Latvian and Russian: A Survey. Applied Computer Systems, 2018, Vol. 23, No. 1, pp. 45-51. ISSN 2255-8683. e-ISSN 2255-8691. Available from: doi:10.2478/acss-2018-0006

Publication language
English (en)