Acta Marisiensis.
Seria Technologica



ISSN 2668-4217
ISSN-L 2668-4217
(Online)


Română

HomeEditorial boardSubmit paperPublication ethicsContactIndexing
Year 2024
Volume 21 (XXXVIII), no 1

Year 2023
Volume 20 (XXXVII), no 1
Volume 20 (XXXVII), no 2

Year 2022
Volume 19 (XXXVI), no 1
Volume 19 (XXXVI), no 2

Year 2021
Volume 18 (XXXV), no 1
Volume 18 (XXXV), no 2

Year 2020
Volume 17 (XXXIV), no 1
Volume 17 (XXXIV), no 2

Year 2019
Volume 16 (XXXIII), no 1
Volume 16 (XXXIII), no 2

Year 2018
Volume 15 (XXXII), no 1
Volume 15 (XXXII), no 2

Year 2017
Volume 14 (XXXI), no 1
Volume 14 (XXXI), no 2

Year 2016
Volume 13 (XXX), no 1
Volume 13 (XXX), no 2

Year 2015
Volume 12 (XXIX), no 1
Volume 12 (XXIX), no 2

Year 2014
Volume 11 (XXVIII), no 1
Volume 11 (XXVIII), no 2

Year 2013
Volume 10 (XXVII), no 1
Volume 10 (XXVII), no 2

Year 2012
Volume 9 (XXVI), no 1
Volume 9 (XXVI), no 2

Year 2011
Volume 8 (XXV), no 1
Volume 8 (XXV), no 2

Year 2010
Volume 7 (XXIV), no 1
Volume 7 (XXIV), no 2

Year 2009
Volume 6 (XXIII)

2019, Volume 16 (XXXIII), no 2

Cryptoncurrency – Sentiment Analysis in Social Media

Author(s):
Tudor-Mircea DULĂU, Robert Bosch SRL, Romania
Mircea DULĂU, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Tîrgu Mureș, Romania

Abstract:
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.

DOI: https://doi.org/10.2478/amset-2019-0009

Pages: 1-6

View full article
Update: 19-Jun-2024 © Published by University Press