<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Sentiment Analysis in Latvian and Russian: A Survey

Applied Computer Systems

This work is licensed under the Creative Commons Attribution 4.0 Public License.

{"article-title":"Sentiment Analysis in Latvian and Russian: A Survey"}

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...

Sentiment Analysis in Latvian and Russian: A Survey

Online veröffentlicht: 30. Mai 2018

Seitenbereich: 45 - 51

DOI: https://doi.org/10.2478/acss-2018-0006

Schlüsselwörter
Machine learning, opinion mining, sentiment analysis, sentiment classification

© 2018 Rinalds Vīksna et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Sentiment Analysis in Latvian and Russian: A Survey

Online veröffentlicht: 30. Mai 2018

Seitenbereich: 45 - 51

DOI: https://doi.org/10.2478/acss-2018-0006

SchlüsselwörterMachine learning, opinion mining, sentiment analysis, sentiment classification

© 2018 Rinalds Vīksna et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Schlüsselwörter
Machine learning, opinion mining, sentiment analysis, sentiment classification