April 16, 2024, 4:42 a.m. | Silvia Garc\'ia-M\'endez, Milagros Fern\'andez-Gavilanes, Jonathan Juncal-Mart\'inez, Francisco J. Gonz\'alez-Casta\~no, Oscar Barba Seara

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.08664v1 Announce Type: cross
Abstract: Short texts are omnipresent in real-time news, social network commentaries, etc. Traditional text representation methods have been successfully applied to self-contained documents of medium size. However, information in short texts is often insufficient, due, for example, to the use of mnemonics, which makes them hard to classify. Therefore, the particularities of specific domains must be exploited. In this article we describe a novel system that combines Natural Language Processing techniques with Machine Learning algorithms to …

abstract arxiv banking classification cs.ai cs.ce cs.cl cs.ir cs.lg documents etc example however information machine medium network real-time representation social support text text classification type vector via

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