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<span lang="EN-US">Word embedding has become the most popular method of lexical description in a given context in the natural language processing domain, especially through the word to vector (Word2Vec) and global vectors (GloVe) implementations. Since GloVe is a pre-trained model that provides access to word mapping vectors on many dimensionalities, a large number of applications rely on its prowess, especially in the field of sentiment analysis. However, in the literature, we found that indoi:10.11591/ijai.v12.i2.pp823-830 fatcat:wan6skypgzd3helpoagdfhugrm