SentiMalti

A Maltese sentiment analysis dataset from a variety of sources. This dataset is an extension of the Budget 2018 and Microblogs datasets. This data also includes a newly created data portion scraped from various social media sources and annotated using crowd-sourcing. 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 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. Permissions beyond the scope of this license may be available at https://mlrs.research.um.edu.mt/.

Citation

This work was first presented in SentiMalti: A Maltese Sentiment Analysis Dataset and Models. Cite it as follows:

@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:

@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",
}

@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},
}