pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
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arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2021
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| _version_ | 1866910525271572480 |
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| author | Pérez, Juan Manuel Rajngewerc, Mariela Giudici, Juan Carlos Furman, Damián A. Luque, Franco Alemany, Laura Alonso Martínez, María Vanina |
| author_facet | Pérez, Juan Manuel Rajngewerc, Mariela Giudici, Juan Carlos Furman, Damián A. Luque, Franco Alemany, Laura Alonso Martínez, María Vanina |
| contents | In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media. However, social researchers face some issues in adopting cutting-edge tools for these tasks, as they are usually behind commercial APIs, unavailable for other languages than English, or very complex to use for non-experts. To address these issues, we present pysentimiento, a comprehensive multilingual Python toolkit designed for opinion mining and other Social NLP tasks. This open-source library brings state-of-the-art models for Spanish, English, Italian, and Portuguese in an easy-to-use Python library, allowing researchers to leverage these techniques. We present a comprehensive assessment of performance for several pre-trained language models across a variety of tasks, languages, and datasets, including an evaluation of fairness in the results. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2106_09462 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks Pérez, Juan Manuel Rajngewerc, Mariela Giudici, Juan Carlos Furman, Damián A. Luque, Franco Alemany, Laura Alonso Martínez, María Vanina Computation and Language In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media. However, social researchers face some issues in adopting cutting-edge tools for these tasks, as they are usually behind commercial APIs, unavailable for other languages than English, or very complex to use for non-experts. To address these issues, we present pysentimiento, a comprehensive multilingual Python toolkit designed for opinion mining and other Social NLP tasks. This open-source library brings state-of-the-art models for Spanish, English, Italian, and Portuguese in an easy-to-use Python library, allowing researchers to leverage these techniques. We present a comprehensive assessment of performance for several pre-trained language models across a variety of tasks, languages, and datasets, including an evaluation of fairness in the results. |
| title | pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2106.09462 |