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

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

C003549 Data Analyst (NS) - MON 13 May

@ EMW, Inc. | Braine-l'Alleud, Wallonia, Belgium

Marketing Decision Scientist

@ Meta | Menlo Park, CA | New York City