КОНФЕРЕНЦІЇ ВНТУ електронні наукові видання, Молодь в науці: дослідження, проблеми, перспективи (МН-2020)

Розмір шрифта: 
AUTOMATED CLASSIFICATION OF SOCIAL MEDIA USERS ON THE BASIS OF MICROBLOGS’ LINGUISTIC ANALYSIS
Олександра Стадній

Остання редакція: 2019-12-12

Анотація


A subsystem of linguistic analysis of microblogs was developed in order to design automated classification of social networks’ users. Development is an integral part of the general information system of intellectual analysis of natural-language content of social networks. As a result of the work, a chatbot for the Telegram messenger was developed, allowing the use of the associative and emotional features of microblogs’ text to classify network users.


Ключові слова


chatbot, linguistic analysis; sentiment analysis; classification of the users; messenger; social network

Посилання


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  3. Oleg V. Bisikalo ; Sergei M. Dovgalets ; Paweł Pijarski and Anna I. Lisovenko "Development of dialog system powered by textual educational content", Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100314E (September 28, 2016); doi:10.1117/12.2248863.

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