Abstract
With the increase of text stored in electronic format, it is no longer possible for humans to understand all the incoming data or even categorize it. We need an automatic text classification system in order to classify them into predefined classes and quickly retrieve information. Text classification can be achieved by machine learning, it requires a set of approaches for vectorization and classification. In vectorization phase, this work proposes two approaches (BOW and TF-IDF), but in the classification phase, the algorithms of machine learning used are: RL, SVM and ANN. At the end, a comparison study is given.
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Jamaleddyn, I., Biniz, M. (2021). Contribution to Arabic Text Classification Using Machine Learning Techniques. In: Fakir, M., Baslam, M., El Ayachi, R. (eds) Business Intelligence. CBI 2021. Lecture Notes in Business Information Processing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-030-76508-8_2
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DOI: https://doi.org/10.1007/978-3-030-76508-8_2
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