Dataset of sentiment tagged language resources for Macedonian language

Macedonian is a South Slavic language spoken by about 2 million people, primarily in North Macedonia and among diaspora communities worldwide. It's known for a few distinctive features. Most notably, it uses definite articles attached to the end of nouns, for example, <i>kniga</i> (a book) becomes <i>knigata</i> (the book). Furthermore, it doesn't use grammatical cases, which makes its grammar relatively straightforward compared to other Slavic languages. The dataset comprises two lists of sentiment annotated words that present the core of the Macedonian sentiment-annotated lexicon, a list of the stopwords, and a list of Affirmative and non-Affirmative words (AnAwords) composed mostly of intensifiers and diminishers, and a list of polarity shifters. The main usage of the presented materials is in rule-based sentiment analysis, but the usage of some of the lists can be much broader.

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Publication Details

Journal
Data in Brief
Published
2025-12-12
DOI
https://doi.org/10.1016/j.dib.2025.112384
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
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article

Dataset of sentiment tagged language resources for Macedonian language

Branko Kavšek, Jernej Vičič, Sofija Kochovska
Data in Brief
Sentiment Analysis and Opinion Mining
article

Dataset of sentiment tagged language resources for Macedonian language

Branko Kavšek, Jernej Vičič, Sofija Kochovska
article en

Abstract

Macedonian is a South Slavic language spoken by about 2 million people, primarily in North Macedonia and among diaspora communities worldwide. It's known for a few distinctive features. Most notably, it uses definite articles attached to the end of nouns, for example, <i>kniga</i> (a book) becomes <i>knigata</i> (the book). Furthermore, it doesn't use grammatical cases, which makes its grammar relatively straightforward compared to other Slavic languages. The dataset comprises two lists of sentiment annotated words that present the core of the Macedonian sentiment-annotated lexicon, a list of the stopwords, and a list of Affirmative and non-Affirmative words (AnAwords) composed mostly of intensifiers and diminishers, and a list of polarity shifters. The main usage of the presented materials is in rule-based sentiment analysis, but the usage of some of the lists can be much broader.

Data in BriefVol. 64
University of Primorska (SI)
Openalex Percentile: Top 79%
Sentiment Analysis and Opinion Mining
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