license: cc-by-sa-4.0
task_categories:
- text-classification
language:
- el
tags:
- code
size_categories:
- n<1K
SentiMP-Gr Dataset
The SentiMP-Gr Dataset is a greek sentiment analysis dataset based on tweets written by members of parliament in United Kingdom in 2021. It has been developed collaboratively by the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) research group from the University of Granada, the SINAI research group from the University of Jaén and the Cardiff NLP research group from the University of Cardiff.
Dataset details
The dataset containst 500 tweets in Greek. For each tweet we provide the following information:
- full_text: Which containts the content of the tweet.
- fold: Proposed partitions {0,1,2,3,4} in 5 folds for 5 fold cross-validation for the sake of reproducibility.
- label_i : Annotator's i label (i in {1,2,3}). It takes values in {-1,0,1}.
- majority_vote: The result after applying the majority vote strategy to the annotators' partial labelling. When there is a tie we use the label "TIE". It takes values in {-1,0,1,TIE}.
- tie_break: We use this column to break ties in cases where there is a tie. Therefore, it is only completed when TIE appears in the majority_vote column. It takes values in {-1,0,1}.
- gold_label: It represents the final label. It is a combination between the majority_vote abd the tie_break columns. It takes values in {-1,0,1}.
Citation
If you use this dataset, please cite:
Contact
Nuria Rodríguez Barroso - rbnuria@ugr.es
Acknowledgements
This work was partly supported by the grants PID2020-119478GB-I00, PID2020-116118GA-I00 and TED2021-130145B-I00 funded by MCIN/AEI/10.13039/501100011033 of the Spanish Government.
Shield: 
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
