Optimization of Sentiment Analysis Methods for classifying text comments of bank customers

M. Lutfullaeva; M. Medvedeva; E. Komotskiy; K. Spasov

doi:10.1016/j.ifacol.2018.11.353

Optimization of Sentiment Analysis Methods for classifying text comments of bank customers

M. Lutfullaeva, M. Medvedeva, E. Komotskiy, K. Spasov

Resultado de la investigación: Article › revisión exhaustiva

Idioma original	English
Páginas (desde-hasta)	55-60
Número de páginas	6
Publicación	IFAC-PapersOnLine
Volumen	51
N.º	32
DOI	https://doi.org/10.1016/j.ifacol.2018.11.353
Estado	Published - 1 ene. 2018

ASJC Scopus subject areas

Control and Systems Engineering

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Развитие математических основ интеллектуальных систем в технике и эколого-социо-экономической сфере на базе современных численных методов (под руководством ведущего зарубежного ученого профессора Т.Симоса)
Берг, Д. Б., Медведева, М. А., Медведев, А. Н., Медведев, М. А., Сергеев, А. П., Тарасов, Д. А., Агбозо, Э., Турыгина, В. Ф., Хорев, О. Е., Комоцкий, Е. И., Simos, T. E., Берг, И. А., Кормышев, В. М., Масих, А. & Оспина Акоста, К. А.
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title = "Optimization of Sentiment Analysis Methods for classifying text comments of bank customers",

keywords = "machine learning, optimization, sentiment analysis, sentiment of the text, the bag-of-words, tonal dictionary, tonal vectorizer",

author = "M. Lutfullaeva and M. Medvedeva and E. Komotskiy and K. Spasov",

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Optimization of Sentiment Analysis Methods for classifying text comments of bank customers

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