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- W4283397235 abstract "Verbal aggressions are a struggle that a great number of social media users have to face daily. Some users take advantage of the anonymity that social media give them and offend a person, a group of people, or a concept. The majority of proposals which pretend to detect aggressive comments on social media handle it as a classification problem. Although there are a lot of techniques to face this problem in English, there is a lack of proposals in Spanish. In this work, we propose using several Spanish lexicons which have a collection of words that have been weighted according to different criteria like affective, dimensional, and emotional values. In addition to them, estructural values, word-embeddings and one-hot codification were taken into account." @default.
- W4283397235 created "2022-06-25" @default.
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- W4283397235 date "2022-03-30" @default.
- W4283397235 modified "2023-09-30" @default.
- W4283397235 title "Verbal Aggressions Detection in Mexican Tweets" @default.
- W4283397235 doi "https://doi.org/10.13053/cys-26-1-4169" @default.
- W4283397235 hasPublicationYear "2022" @default.
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