Published October 13, 2020 | Version v1.0.1
Dataset Open

PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media

  • 1. Laboratory for Social and Cognitive Informatics, National Research University Higher School of Economics
  • 2. Laboratory for Cognitive Studies, St. Petersburg State University

Description

A Russian-language sentiment lexicon for social media discussions on political and social issues.

The file contains raw markings collected with LINIS coding service https://linis-crowd.org [in Russian].

Learn more about PolSentiLex in our papers:

  • Koltsova, O., & Alexeeva, S. (2015). Linis-crowd.org: A lexical resource for Russian sentiment analysis of social media [Linis-crowd.org: Lexichesk resurs dl’a analiza tonal’nosti sotsial’no-politicheskix tekstov]. Computational Linguis- Tics and Computantional Ontologies: Proceedings of the XVIII Joint Conference “Internet and Modern Society (IMS-2015)” [Kompyuternaya Lingvistika i Vyichis- Litelnyie Ontologii: Sbornik Nauchnyih Statey. Trudyi XVIII Ob’edinennoy Konferen- Tsii «Internet i Sovremennoe Obschestvo» (IMS-2015)], 25–34. [in Russian] URL: https://scila.hse.ru/data/2020/06/02/1603986481/koltsovaoyuetal.pdf

  • Koltsova, O., Alexeeva, S., & Koltsov, S. (2016). An Opinion Word Lexicon and a Training Dataset for Russian Sentiment Analysis of Social Media. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2016”, 277–287. URL: http://www.dialog-21.ru/media/3400/koltsovaoyuetal.pdf

  • Koltsova O., Alexeeva S., Pashakhin S., Koltsov S. (2020) PolSentiLex: Sentiment Detection in Socio-Political Discussions on Russian Social Media. In: Filchenkov A., Kauttonen J., Pivovarova L. (eds) Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science, vol 1292. Springer, Cham. https://doi.org/10.1007/978-3-030-59082-6_1

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