Natural Language Text Parsing for Social Network User Sentiment Analysis Based on Fuzzy Sets; Mechanical Engineering, Automation and Control Systems (MEACS)

Xehetasun bibliografikoak
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2015.— [5 p.]
Erakunde egilea: Томский политехнический университет Институт кибернетики, ИК
Beste egile batzuk: Luneva E. E. Elena Evgenievna, Banokin P. I. Pavel Ivanovich, Zamyatina V. S., Ivantsov S. V.
Gaia:Title screen
The 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.
Режим доступа: по договору с организацией-держателем ресурса
Hizkuntza:ingelesa
Argitaratua: 2015
Gaiak:
Sarrera elektronikoa:http://dx.doi.org/10.1109/MEACS.2015.7414902
Formatua: Baliabide elektronikoa Liburu kapitulua
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646677

MARC

LEADER 00000nla2a2200000 4500
001 646677
005 20260714144947.0
035 |a (RuTPU)RU\TPU\network\11813 
035 |a RU\TPU\network\11809 
090 |a 646677 
100 |a 20160310a2015 k y0engy50 ba 
101 0 |a eng 
105 |a a z 101zy 
135 |a drcn ---uucaa 
181 0 |a i  
182 0 |a b 
200 1 |a Natural Language Text Parsing for Social Network User Sentiment Analysis Based on Fuzzy Sets  |f E. E. Luneva [et al.] 
203 |a Text  |c electronic 
300 |a Title screen 
320 |a [References: 13 tit.] 
330 |a The 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 |a Режим доступа: по договору с организацией-держателем ресурса 
463 0 |0 (RuTPU)RU\TPU\network\11620  |t Mechanical Engineering, Automation and Control Systems (MEACS)  |o proceedings of the International Conference, Tomsk, 1-4 December, 2015  |f National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE)  |v [5 p.]  |d 2015 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a алгоритмы 
610 1 |a автоматизация 
610 1 |a нечеткие множества 
610 1 |a синтаксический анализ 
610 1 |a тексты 
610 1 |a социальные сети 
610 1 |a естественные языки 
701 1 |a Luneva  |b E. E.  |c specialist in the field of informatics and computer technology  |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, Leading programmer  |f 1981-  |g Elena Evgenievna  |3 (RuTPU)RU\TPU\pers\32933 
701 1 |a Banokin  |b P. I.  |c specialist in the field of automatic control  |c Assistant of Tomsk Polytechnic University  |f 1988-  |g Pavel Ivanovich  |3 (RuTPU)RU\TPU\pers\31757 
701 1 |a Zamyatina  |b V. S. 
701 1 |a Ivantsov  |b S. V. 
712 0 2 |a Томский политехнический университет  |b Институт кибернетики, ИК  |c 2010-2017  |9 27025 
801 2 |a RU  |b 63413507  |c 20161226  |g RCR 
856 4 |u http://dx.doi.org/10.1109/MEACS.2015.7414902 
942 |c CF