Datasets:

Modalities:
Text
Languages:
Maltese
License:
SentiMalti / README.md
KurtMica's picture
Fix citation.
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---
configs:
- config_name: all
data_files:
- split: train
path: '*/train*.json'
- split: validation
path: '*/validation.json'
- split: test
path: '*/test.json'
default: true
- config_name: budget2018
data_dir: budget2018
- config_name: microblogs
data_dir: microblogs
- config_name: social_media
data_dir: social_media
license: cc-by-nc-4.0
task_categories:
- text-classification
language:
- mt
pretty_name: SentiMalti
size_categories:
- 1K<n<10K
---
# SentiMalti
A Maltese sentiment analysis dataset from a variety of sources.
This dataset is an extension of the [Budget 2018](https://aclanthology.org/D19-5547/) and [Microblogs](https://www.thinkmind.org/library/SEMAPRO/SEMAPRO_2016/semapro_2016_1_40_30007.html) datasets.
This data also includes a newly created data portion scraped from various social media sources and annotated using [crowd-sourcing](https://nlpgroup.research.um.edu.mt/sentiment/).
The sentiment labels are: `positive`, `negative`, `neutral`.
The previous datasets are included as separate configs under `budget2018` & `microblogs`.
The newly created data is available under the `social_media` config.
The default config (`all`) contains the data from all configs.
We ensure that any data from [Evaluating morphological typology in zero-shot cross-lingual transfer](https://github.com/jerbarnes/typology_of_crosslingual/tree/master/data/sentiment/mt) is kept in the same train/validation/test splits, and we additionally include instances with a `neutral` label.
## License
This work is licensed under a
[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
Permissions beyond the scope of this license may be available at [https://mlrs.research.um.edu.mt/](https://mlrs.research.um.edu.mt/).
[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
## Citation
This work was first presented in [SentiMalti: A Maltese Sentiment Analysis Dataset and Models](#).
Cite it as follows:
```bibtex
@inproceedings{SentiMalti,
title = "{S}enti{M}alti: A {M}altese Sentiment Analysis Dataset and Models",
author = "Caruana, Ian and
Vella, Matthew and
Zammit, Fabio and
Micallef, Kurt and
Borg, Claudia",
booktitle = {Proceedings of the Fifteenth Biennial Language Resources and Evaluation Conference (LREC)},
month = may,
year = "2026",
address = "Palma, Mallorca, Spain",
publisher = "European Language Resources Association",
}
```
The `budget2018` & `microblogs` subsets are based from previous works, which you can cite as follows:
```bibtex
@inproceedings{SentiMalti_budget2018,
title = "A Social Opinion Gold Standard for the {M}alta Government Budget 2018",
author = "Cortis, Keith and
Davis, Brian",
editor = "Xu, Wei and
Ritter, Alan and
Baldwin, Tim and
Rahimi, Afshin",
booktitle = "Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-5547/",
doi = "10.18653/v1/D19-5547",
pages = "364--369",
}
```
```bibtex
@inproceedings{SentiMalti_microblogs,
author = {Dingli, Alexei and
Sant, Nicole},
title = {Sentiment Analysis on {M}altese using Machine Learning},
booktitle = {The Tenth International Conference on Advances in Semantic Processing ({SEMAPRO} 2016)},
pages = {21--25},
year = {2016},
url = {https://www.thinkmind.org/library/SEMAPRO/SEMAPRO_2016/semapro_2016_1_40_30007.html},
}
```