| | --- |
| | 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: |
| |
|
| |
|
| | ```json |
| | { |
| | "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/ |
