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--- |
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language: |
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- cs |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- text-classification |
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--- |
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## Introduction |
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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). |
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## Format |
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This dataset uses the following jsonl format: |
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```json |
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{ |
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"id": unique identifier, |
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"query": text for sentiment analysis, |
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"choices": sentiment classes ["negativní","neutrální","pozitivní"], |
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"gold": index of gold class |
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} |
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``` |
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## Citation of the original paper |
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Please, cite the original article if you use any of the available resources. |
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``` |
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@inproceedings{Habernal.Brychcin.2013b, |
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author = {Ivan Habernal and Tom\'{a}\v{s} Brychc\'{i}n}, |
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title = {Unsupervised Improving of Sentiment Analysis Using Global Target Context}, |
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booktitle = {Proceedings of RANLP 2013}, |
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year = {2013}, |
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publisher = {Association for Computational Linguistics}, |
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} |
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``` |
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Original webpage: https://corpora.kiv.zcu.cz/sentiment/ |
