Book Chapter

Twitter Sentiment Data Analysis of User Behavior on Cryptocurrencies

Hasitha Ranasinghe, Malka N Halgamuge

Advances in Social Networking and Online Communities | IGI Global | Published : 2021


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 thou..

View full abstract