Using Internet News Flows as Marketing Data Component
Дата
2020
DOI
Науковий ступінь
Рівень дисертації
Шифр та назва спеціальності
Рада захисту
Установа захисту
Науковий керівник
Члени комітету
Назва журналу
Номер ISSN
Назва тому
Видавець
Анотація
The theoretical research of Internet news representation as a marketing data component concerning price strategies in polymer market was provided. The research includes some intermediate tasks. Firstly, the classification of marketing objects in news stream was prepared. Secondly, each object (event) was described with ontology including necessary keywords and using syntactic model based on formal grammar. As a result, the models of the following events were developed: competitors, offer, production level, geography, import, world prices, export and others. Finally, the solution (algorithm) was proposed to implement the study. The efficiency of the approach was proved by successful performance of real projects in the polymer market in Ukraine.
Опис
Ключові слова
marketing data, internet news, ontology, syntactic model, key-words, data mining
Бібліографічний опис
Using Internet News Flows as Marketing Data Component [Electronic resource] / Sergey Orekhov, Henadii Malyhon, Irina Liutenko,Tetiana Goncharenko // Computational Linguistics and Intelligent Systems (COLINS 2020) : proc. of the 4th Intern. Conf., April 23-24, 2020. Vol. 2604. – Electronic text data. – Lviv, 2020. – 16 p. – URL: https://ceur-ws.org/Vol-2604/paper27.pdf, free (date of the application 13.02.2024.).