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Sentiment analysis for Georgian

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This dataset is the first ever publicly available annotated dataset for sentiment classification and semantic polarity dictionary for Georgian. We consider both three- (positive, neutral, negative) and four-tier (positive, neutral, negative, mixed) classifications.

Contributors

Jakub PISKORSKI; Nicolas Stefanovitch; Sopho KHARAZI

How to cite

Stefanovitch, Nicolas; Piskorski, Jakub; Kharazi, Sopho (2026): Sentiment analysis for Georgian. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.AS39NCG PID: http://data.europa.eu/89h/9f04066a-8cc0-4669-99b4-f1f0627fdbbf

Data access

Sentiment analysis for Georgian
Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.
Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Additional information

Published by
European Commission, Joint Research Centre
Contact email
Nicolas.STEFANOVITCH (at) ec.europa.eu
Update frequency
unknown

The event occurs with unknown regularity.

Data theme(s)
Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Issued date
2023-04-28
Created date
28 Apr 2022 12:32
Modified date
13 Dec 2022 14:45
Dataset identifier
http://data.europa.eu/89h/9f04066a-8cc0-4669-99b4-f1f0627fdbbf
Other identifiers
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