Understanding public opinions on social media for financial sentiment analysis using AI-based techniques
作者:
Highlights:
• Gauged public sentiments on Twitter towards Non-Fungible Tokens·.
• Provided realistic contradistinction between the NFT market and the traditional financial market.
• Conducted a secondary trade market analysis to determine reasons for the growing acceptance of NFTs.
• Established Twitter as a rich research resource for trend analysis of NFTs.
• Overall, positive sentiment is expressed all over the world regarding NFTs.
• Anticipation and Trust are predominant emotions, which also drive demand for NFTs.
摘要
•Gauged public sentiments on Twitter towards Non-Fungible Tokens·.•Provided realistic contradistinction between the NFT market and the traditional financial market.•Conducted a secondary trade market analysis to determine reasons for the growing acceptance of NFTs.•Established Twitter as a rich research resource for trend analysis of NFTs.•Overall, positive sentiment is expressed all over the world regarding NFTs.•Anticipation and Trust are predominant emotions, which also drive demand for NFTs.
论文关键词:Non-fungible tokens (NFT),Emotion analysis,Sentiment analysis,Financial trends,Twitter,Ethereum
论文评审过程:Received 12 May 2022, Revised 2 September 2022, Accepted 14 September 2022, Available online 22 September 2022, Version of Record 22 September 2022.
论文官网地址:https://doi.org/10.1016/j.ipm.2022.103098