BPTE: Bitcoin Price Prediction and Trend Examination using Twitter Sentiment Analysis

被引：5

作者：

Shahzad, Muhammad K. ^{[1
]}

Bukhari, Laiba ^{[1
]}

Khan, Tayyeba Muhammad ^{[1
]}

Islam, S. M. Riazul ^{[2
]}

Hossain, Mahmud ^{[3
]}

Kwak, Kyung-Sup ^{[4
]}

机构：

[1] Natl Univ Sci & Technol, Dept Comp, Islamabad, Pakistan

[2] Sejong Univ, Dept Comp Engn, Seoul, South Korea

[3] UAB, Dept Comp Sci, Birmingham, AL USA

[4] Inha Univ, Dept ICE, Incheon, South Korea

来源：

12TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2021): BEYOND THE PANDEMIC ERA WITH ICT CONVERGENCE INNOVATION | 2021年

基金：

新加坡国家研究基金会;

关键词：

D O I：

10.1109/ICTC52510.2021.9620216

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Natural Language Processing (NLP) is a challenging and evolving field with the potential of mushroom growth. This technology is expected to assume a pivotal role in bridging the gap between human communication and digital data. In line with that, NLP-driven sentiment analysis has become an attractive research area. On the other hand, bitcoin, arguably the most valuable cryptocurrency, has gained popularity as a major source of investment. In this paper, we propose a framework to perform sentiment analysis on Twitter data. We outline the method and results of predicting bitcoin price for a few days in the future. The framework is expected to be helpful in making informed decisions about our investments and policy based on anticipated future trends.

引用

页码：119 / 122

页数：4

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