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Text classification with ngrams

CC BY-NC 4.0

Abstract

Binary text classification can be performed by various technique, from Machine Learning approaces to Deep Learning ones. In this paper we will apply three different techniques in order to predict if a sentence can be labeled as sexist or not using the EDOS dataset from Task 10 of SemEval 2023.

License

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

For a copy of the license, please visit https://creativecommons.org/licenses/by-nc/4.0/

CC BY-NC 4.0

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Text classification with ngrams for Natural Language Processing case study @ Università degli Studi di Bari Aldo Moro, AY 2023/24

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