Datasets:
CZLC
/

Modalities:
Tabular
Text
Formats:
json
Languages:
Czech
Libraries:
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pandas
License:
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metadata
language:
  - cs
license: cc-by-nc-sa-4.0
task_categories:
  - text-classification

Introduction

This is a class-balanced version of subset from CSFD sentiment dataset collected from CSFD. The work was originaly published in paper Sentiment Analysis in Czech Social Media Using Supervised Machine Learning (citation below).

Format

This dataset uses the following jsonl format:

{
  "id": unique identifier, 		
  "query": text for sentiment analysis, 
  "choices": sentiment classes ["negativní","neutrální","pozitivní"], 
  "gold": index of gold class
}

Citation of the original paper

Please, cite the original article if you use any of the available resources.

@inproceedings{Habernal.Brychcin.2013b,
  author    = {Ivan Habernal and Tom\'{a}\v{s} Brychc\'{i}n},
  title     = {Unsupervised Improving of Sentiment Analysis Using Global Target Context},
  booktitle = {Proceedings of RANLP 2013},
  year      = {2013},
  publisher = {Association for Computational Linguistics},
}

Original webpage: https://corpora.kiv.zcu.cz/sentiment/