The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Twitter Sentiment Data Analysis of User Behavior on Cryptocurrencies: Bitcoin and Ethereum
|
|
Author(s): Hasitha Ranasinghe (Charles Sturt University, Australia)and Malka N. Halgamuge (The University of Melbourne, Australia)
Copyright: 2021
Pages: 15
Source title:
Analyzing Global Social Media Consumption
Source Author(s)/Editor(s): Patrick Kanyi Wamuyu (United States International University – Africa, Kenya)
DOI: 10.4018/978-1-7998-4718-2.ch015
Purchase
|
Abstract
Social networks such as Twitter contain billions of data of users, and in every second, a large number of tweets trade through Twitter. Sentiment analysis is the way toward deciding the emotional tone behind a series of words that users utilize to understand the attitudes, thoughts, and emotions that are enunciated in online references on Twitter. This chapter aims to determine the user preference of Bitcoin and Ethereum, which are the two most popular cryptocurrencies in the world by using the Twitter sentiment analysis. It proposes a powerful and fundamental approach to identify emotions on Twitter by considering the tweets of these two distinctive cryptocurrencies. One hundred twenty thousand (120,000) tweets were extracted separately from Twitter for each keyword Bitcoin/BTC and Bitcoin/ETC between the period from 12/09/2018 to 22/09/2018 (10 days).
Related Content
|
Laura Holgado-Ruiz, José Ramón Saura, Beatriz Rodríguez Herráez.
© 2023.
24 pages.
|
|
Dino Sossi.
© 2023.
25 pages.
|
|
Sheldondra J. Brown, Grace M. Babcock, Monica Bixby Radu.
© 2023.
11 pages.
|
|
Aifheli Makhwanya.
© 2023.
14 pages.
|
|
Rui Alexandre Novais.
© 2023.
23 pages.
|
|
Hasan Turgut.
© 2023.
19 pages.
|
|
Debika Sihi.
© 2023.
27 pages.
|
|
|