| | --- |
| | 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 MALL (mall.cz). 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/ |
