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

  • Shahzad, Muhammad K.
  • Bukhari, Laiba
  • Khan, Tayyeba Muhammad
  • Islam, S. M. Riazul
  • Hossain, Mahmud
  • 외 1명
Citations

WEB OF SCIENCE

5
Citations

SCOPUS

5

초록

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.

제목
BPTE: Bitcoin Price Prediction and Trend Examination using Twitter Sentiment Analysis
저자
Shahzad, Muhammad K.Bukhari, LaibaKhan, Tayyeba MuhammadIslam, S. M. RiazulHossain, MahmudKwak, Kyung-Sup
DOI
10.1109/ICTC52510.2021.9620216
발행일
2021
유형
Proceedings Paper
저널명
12TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2021): BEYOND THE PANDEMIC ERA WITH ICT CONVERGENCE INNOVATION
페이지
119 ~ 122