AlbNews: A Corpus of Headlines for Topic Modeling in Albanian
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913224886059008 |
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| author | Çano, Erion Lamaj, Dario |
| author_facet | Çano, Erion Lamaj, Dario |
| contents | The scarcity of available text corpora for low-resource languages like Albanian is a serious hurdle for research in natural language processing tasks. This paper introduces AlbNews, a collection of 600 topically labeled news headlines and 2600 unlabeled ones in Albanian. The data can be freely used for conducting topic modeling research. We report the initial classification scores of some traditional machine learning classifiers trained with the AlbNews samples. These results show that basic models outrun the ensemble learning ones and can serve as a baseline for future experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_04028 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AlbNews: A Corpus of Headlines for Topic Modeling in Albanian Çano, Erion Lamaj, Dario Computation and Language Artificial Intelligence Machine Learning The scarcity of available text corpora for low-resource languages like Albanian is a serious hurdle for research in natural language processing tasks. This paper introduces AlbNews, a collection of 600 topically labeled news headlines and 2600 unlabeled ones in Albanian. The data can be freely used for conducting topic modeling research. We report the initial classification scores of some traditional machine learning classifiers trained with the AlbNews samples. These results show that basic models outrun the ensemble learning ones and can serve as a baseline for future experiments. |
| title | AlbNews: A Corpus of Headlines for Topic Modeling in Albanian |
| topic | Computation and Language Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2402.04028 |