<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p><p>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.</p></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.

Cryptocurrency – Sentiment Analysis in Social Media

George Emil Palade University of Medicine

Pharmacy, Science, and Technology of Targu Mures

Acta Marisiensis. Seria Technologica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Cryptocurrency \u2013 Sentiment Analysis in Social Media"}

The paper proposes the exploration, identification and development of a Java solution for extracting the sentiment related to the cryptocurrencies phenomenon,...

Cryptocurrency – Sentiment Analysis in Social Media

Published Online: Dec 21, 2019

Page range: 1 - 6

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

Keywords
cryptocurrency, sentiment analysis, Stanford CoreNLP, IBM Watson

© 2019 Tudor-Mircea Dulău et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Cryptocurrency – Sentiment Analysis in Social Media

Published Online: Dec 21, 2019

Page range: 1 - 6

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

Keywordscryptocurrency, sentiment analysis, Stanford CoreNLP, IBM Watson

© 2019 Tudor-Mircea Dulău et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
cryptocurrency, sentiment analysis, Stanford CoreNLP, IBM Watson