Natural Language Text Parsing for Social Network User Sentiment Analysis Based on Fuzzy Sets

Natural Language Text Parsing for Social Network User Sentiment Analysis Based on Fuzzy Sets

Bibliographic Details
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2015.— [5 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Other Authors: Luneva E. E. Elena Evgenievna, Banokin P. I. Pavel Ivanovich, Zamyatina V. S., Ivantsov S. V.
Summary: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
Language:English
Published: 2015
Subjects:
электронный ресурс
труды учёных ТПУ
алгоритмы
автоматизация
нечеткие множества
синтаксический анализ
тексты
социальные сети
естественные языки
Online Access:http://dx.doi.org/10.1109/MEACS.2015.7414902
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646677
Description
Summary: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
DOI:10.1109/MEACS.2015.7414902

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