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

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
Pages (from-to)55-60
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number32
DOIs
Publication statusPublished - 1 Jan 2018

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Learning systems
Logistics
Experiments

Keywords

  • machine learning
  • optimization
  • sentiment analysis
  • sentiment of the text
  • the bag-of-words
  • tonal dictionary
  • tonal vectorizer

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

@article{82598bb244b541e4844d79a1a4625f43,
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",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/j.ifacol.2018.11.353",
language = "English",
volume = "51",
pages = "55--60",
journal = "Ifac papersonline",
issn = "2405-8963",
publisher = "Elsevier BV",
number = "32",

}

Optimization of Sentiment Analysis Methods for classifying text comments of bank customers. / Lutfullaeva, M.; Medvedeva, M.; Komotskiy, E.; Spasov, K.

In: IFAC-PapersOnLine, Vol. 51, No. 32, 01.01.2018, p. 55-60.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Optimization of Sentiment Analysis Methods for classifying text comments of bank customers

AU - Lutfullaeva, M.

AU - Medvedeva, M.

AU - Komotskiy, E.

AU - Spasov, K.

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Y1 - 2018/1/1

KW - machine learning

KW - optimization

KW - sentiment analysis

KW - sentiment of the text

KW - the bag-of-words

KW - tonal dictionary

KW - tonal vectorizer

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U2 - 10.1016/j.ifacol.2018.11.353

DO - 10.1016/j.ifacol.2018.11.353

M3 - Article

VL - 51

SP - 55

EP - 60

JO - Ifac papersonline

JF - Ifac papersonline

SN - 2405-8963

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ER -