Cryptocurrency – Sentiment Analysis in Social Media

Autor: Tudor-Mircea DULĂU, Mircea DULĂU
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Acta Marisiensis: Seria Technologica, Vol 16 (XXXIII), Iss 2, Pp 1-6 (2020)
Druh dokumentu: article
ISSN: 2668-4217
DOI: 10.2478/amset-2019-0009
Popis: The paper proposes the exploration, identification and development of a Java solution for extracting the sentiment related to the cryptocurrencies phenomenon, from the content of the posts of certain popular social networks. Detecting the positive, neutral or negative character of the sentiment is adopted as a relevant method of establishing the nature of the human perception on the topical issue defined by cryptocurrencies.
Databáze: Directory of Open Access Journals