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