AUTOMATED SENTIMENT ANALYSYS EVALUATION OF SOCIAL NETWORK USERS BASED ON FUZZY LOGIC
https://doi.org/10.21686/2500-3925-2015-3-249-254
Abstract
In the article the method of automated sentiment analysisevaluation of social network users is represented. The advantage of suggested method consists in ability taking into accountuser’s authority as well as the fact of several messages from one user. As input data for the sentiment analysis with respect to a certain topic is its relevant messages. Automated analysisof these messages is obtained with application of fuzzy logicalgorithms. Particularly when in messages contains fuzzyhedges. The paper presents experimental data showing the steps of calculation of the resulting sentiment evaluation ofmessages on a certain topic.
About the Authors
Elena E. Luneva
Tomsk Polytechnic University
Russian Federation
Russian Federation
Alexandr A. Yefremov
Tomsk Polytechnic University
Russian Federation
Russian Federation
Pavel I. Banokin
Tomsk Polytechnic University
Russian Federation
Russian Federation
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Review
For citations:
Luneva E.E., Yefremov A.A., Banokin P.I. AUTOMATED SENTIMENT ANALYSYS EVALUATION OF SOCIAL NETWORK USERS BASED ON FUZZY LOGIC. Statistics and Economics. 2015;(3):249-254. (In Russ.) https://doi.org/10.21686/2500-3925-2015-3-249-254
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