metadata

license: cc-by-nc-sa-3.0
task_categories:
  - text-classification
language:
  - mk
multilinguality:
  - monolingual
pretty_name: Macedonian Tweet Sentiment Classification
size_categories:
  - 1K<n<10K

Dataset Card for Macedonian Tweet Sentiment Classification

Dataset Description

Dataset Summary

This is a Macedonian dataset is a collection of tweets for sentiment classification.

Supported Tasks and Leaderboards

text-classification, sentiment-classification: The dataset can be used to train a model for sentiment classification. The model performance is evaluated based on the accuracy of the predicted labels as compared to the given labels in the dataset. The BCP-47 code for Macedonian is mk.

Languages

The text is in Macedonian.

Dataset Structure

Data Fields

text: String of a tweet.
label: An integer indicating annotated sentiment level: -1 for negative, 0 for neutral, and 1 for positive.

Data Splits

The dataset has 2 splits: train, and test.

Dataset	Positive	Neutral	Negative	Total
Train	2,610 (30%)	1,280 (15%)	4,693 (55%)	8,583
Test	431 (38%)	200 (18%)	508 (44%)	1,139

Dataset Creation

Please see the paper for details.

Additional Information

Citation Information

The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:

@inproceedings{jovanoski-etal-2015-sentiment,
    title = "Sentiment Analysis in {T}witter for {M}acedonian",
    author = "Jovanoski, Dame  and
      Pachovski, Veno  and
      Nakov, Preslav",
    editor = "Mitkov, Ruslan  and
      Angelova, Galia  and
      Bontcheva, Kalina",
    booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing",
    month = sep,
    year = "2015",
    address = "Hissar, Bulgaria",
    publisher = "INCOMA Ltd. Shoumen, BULGARIA",
    url = "https://aclanthology.org/R15-1034",
    pages = "249--257",
}