2023
DOI: 10.23939/mmc2023.02.511
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Towards a polynomial approximation of support vector machine accuracy applied to Arabic tweet sentiment analysis

Abstract: Machine learning algorithms have become very frequently used in natural language processing, notably sentiment analysis, which helps determine the general feeling carried within a text. Among these algorithms, Support Vector Machines have proven powerful classifiers especially in such a task, when their performance is assessed through accuracy score and f1-score. However, they remain slow in terms of training, thus making exhaustive grid-search experimentations very time-consuming. In this paper, we present… Show more

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