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100 _a20160310a2015 k y0engy50 ba
101 0 _aeng
105 _aa z 101zy
135 _adrcn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aNatural Language Text Parsing for Social Network User Sentiment Analysis Based on Fuzzy Sets
_fE. E. Luneva [et al.]
203 _aText
_celectronic
300 _aTitle screen
320 _a[References: 13 tit.]
330 _aThe article introduces natural language text parsing algorithm for social network user sentiment evaluation within proposed technique based on fuzzy sets. The paper contains experimental data and shows the steps of text parsing algorithm and calculation of algorithm accuracy on messages on a certain topic. Application of proposed algorithm and technique is demonstrated on experimental data from Twitter social network.
333 _aРежим доступа: по договору с организацией-держателем ресурса
463 0 _0(RuTPU)RU\TPU\network\11620
_tMechanical Engineering, Automation and Control Systems (MEACS)
_oproceedings of the International Conference, Tomsk, 1-4 December, 2015
_fNational Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE)
_v[5 p.]
_d2015
610 1 _aэлектронный ресурс
610 1 _aтруды учёных ТПУ
610 1 _aалгоритмы
610 1 _aавтоматизация
610 1 _aнечеткие множества
610 1 _aсинтаксический анализ
610 1 _aтексты
610 1 _aсоциальные сети
610 1 _aестественные языки
701 1 _aLuneva
_bE. E.
_cspecialist in the field of informatics and computer technology
_cAssociate Professor of Tomsk Polytechnic University, Candidate of technical sciences, Leading programmer
_f1981-
_gElena Evgenievna
_2stltpush
_3(RuTPU)RU\TPU\pers\32933
701 1 _aBanokin
_bP. I.
_cspecialist in the field of automatic control
_cAssistant of Tomsk Polytechnic University
_f1988-
_gPavel Ivanovich
_2stltpush
_3(RuTPU)RU\TPU\pers\31757
701 1 _aZamyatina
_bV. S.
701 1 _aIvantsov
_bS. V.
712 0 2 _aНациональный исследовательский Томский политехнический университет (ТПУ)
_bИнститут кибернетики (ИК)
_bКафедра автоматики и компьютерных систем (АИКС)
_h125
_2stltpush
_3(RuTPU)RU\TPU\col\18698
801 2 _aRU
_b63413507
_c20161226
_gRCR
856 4 _uhttp://dx.doi.org/10.1109/MEACS.2015.7414902
942 _cCF