Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers
Abstract The rise of social networks has allowed misogynistic, xenophobic, and homophobic people to spread their hate-speech to intimidate individuals or groups because of their gender, ethnicity or sexual orientation. The consequences of hate-speech are devastating, causing severe depression and ev...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer
2022-02-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-022-00693-x |
| _version_ | 1797806467121676288 |
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| author | José Antonio García-Díaz Salud María Jiménez-Zafra Miguel Angel García-Cumbreras Rafael Valencia-García |
| author_facet | José Antonio García-Díaz Salud María Jiménez-Zafra Miguel Angel García-Cumbreras Rafael Valencia-García |
| author_sort | José Antonio García-Díaz |
| collection | DOAJ |
| description | Abstract The rise of social networks has allowed misogynistic, xenophobic, and homophobic people to spread their hate-speech to intimidate individuals or groups because of their gender, ethnicity or sexual orientation. The consequences of hate-speech are devastating, causing severe depression and even leading people to commit suicide. Hate-speech identification is challenging as the large amount of daily publications makes it impossible to review every comment by hand. Moreover, hate-speech is also spread by hoaxes that requires language and context understanding. With the aim of reducing the number of comments that should be reviewed by experts, or even for the development of autonomous systems, the automatic identification of hate-speech has gained academic relevance. However, the reliability of automatic approaches is still limited specifically in languages other than English, in which some of the state-of-the-art techniques have not been analyzed in detail. In this work, we examine which features are most effective in identifying hate-speech in Spanish and how these features can be combined to develop more accurate systems. In addition, we characterize the language present in each type of hate-speech by means of explainable linguistic features and compare our results with state-of-the-art approaches. Our research indicates that combining linguistic features and transformers by means of knowledge integration outperforms current solutions regarding hate-speech identification in Spanish. |
| first_indexed | 2024-03-13T06:07:45Z |
| format | Article |
| id | doaj.art-cd202626b0104926b5c64980062f7ea8 |
| institution | Directory Open Access Journal |
| issn | 2199-4536 2198-6053 |
| language | English |
| last_indexed | 2024-03-13T06:07:45Z |
| publishDate | 2022-02-01 |
| publisher | Springer |
| record_format | Article |
| series | Complex & Intelligent Systems |
| spelling | doaj.art-cd202626b0104926b5c64980062f7ea82023-06-11T11:29:40ZengSpringerComplex & Intelligent Systems2199-45362198-60532022-02-01932893291410.1007/s40747-022-00693-xEvaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformersJosé Antonio García-Díaz0Salud María Jiménez-Zafra1Miguel Angel García-Cumbreras2Rafael Valencia-García3Facultad de Informática, Universidad de MurciaComputer Science Department, SINAI, CEATIC, Universidad de JaénComputer Science Department, SINAI, CEATIC, Universidad de JaénFacultad de Informática, Universidad de MurciaAbstract The rise of social networks has allowed misogynistic, xenophobic, and homophobic people to spread their hate-speech to intimidate individuals or groups because of their gender, ethnicity or sexual orientation. The consequences of hate-speech are devastating, causing severe depression and even leading people to commit suicide. Hate-speech identification is challenging as the large amount of daily publications makes it impossible to review every comment by hand. Moreover, hate-speech is also spread by hoaxes that requires language and context understanding. With the aim of reducing the number of comments that should be reviewed by experts, or even for the development of autonomous systems, the automatic identification of hate-speech has gained academic relevance. However, the reliability of automatic approaches is still limited specifically in languages other than English, in which some of the state-of-the-art techniques have not been analyzed in detail. In this work, we examine which features are most effective in identifying hate-speech in Spanish and how these features can be combined to develop more accurate systems. In addition, we characterize the language present in each type of hate-speech by means of explainable linguistic features and compare our results with state-of-the-art approaches. Our research indicates that combining linguistic features and transformers by means of knowledge integration outperforms current solutions regarding hate-speech identification in Spanish.https://doi.org/10.1007/s40747-022-00693-xHate-speechFeature engineeringKnowledge integrationText classificationNatural language processing |
| spellingShingle | José Antonio García-Díaz Salud María Jiménez-Zafra Miguel Angel García-Cumbreras Rafael Valencia-García Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers Complex & Intelligent Systems Hate-speech Feature engineering Knowledge integration Text classification Natural language processing |
| title | Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers |
| title_full | Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers |
| title_fullStr | Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers |
| title_full_unstemmed | Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers |
| title_short | Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers |
| title_sort | evaluating feature combination strategies for hate speech detection in spanish using linguistic features and transformers |
| topic | Hate-speech Feature engineering Knowledge integration Text classification Natural language processing |
| url | https://doi.org/10.1007/s40747-022-00693-x |
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