Name
Abstract | ||
|---|---|---|
Nowadays, crypto-asset is gaining immense interest in the field of finance. Bitcoin is a one such crypto-asset with a trading volume of more than 5 billion a day. On social networking services, there are people who have a great influence on social media users; these people are called influencers. In this study, we focus on crypto-asset influencers. We consider that influencer tweets may affect crypto-asset prices. In this research, we propose a method to predict whether bitcoin price will increase or decrease using influencer tweets. For this, we collect influencer tweets to extract features using natural language processing techniques; these features are used as input for machine learning methods, which also use bitcoin price data. The results of our experiment show that the influencer tweets affect crypto-asset prices. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-15032-7_79 | AINA |
Field | DocType | Citations |
Data science,Social media,Social network,Computer science,Computer network,Influencer marketing | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hirofumi Yamamoto | 1 | 105 | 16.52 |
| Hiroki Sakaji | 2 | 30 | 17.97 |
| Hiroyasu Matsushima | 3 | 1 | 2.39 |
| Yuki Yamashita | 4 | 5 | 2.32 |
| Kyohei Osawa | 5 | 0 | 0.34 |
| Kiyoshi Izumi | 6 | 127 | 37.12 |
| Takashi Shimada | 7 | 0 | 0.34 |