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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, Laiba; Khan, Tayyeba Muhammad; Islam, S. M. Riazul; Hossain, Mahmud; Kwak, Kyung-Sup
- 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