taradactyl27/nft-sentiment-analysis
Research project exploring the classification of genuine NFT projects from scams with sentiment and price analysis using machine learning classifiers and deep learning.
This project helps NFT investors and enthusiasts evaluate the authenticity of NFT projects. By analyzing sentiment from Twitter data and OpenSea transaction prices, it classifies projects as either genuine or potential scams. The output provides a clear indication of a project's trustworthiness, aiding individuals in making more informed investment decisions in the NFT space.
No commits in the last 6 months.
Use this if you are an NFT investor or enthusiast looking for a data-driven way to identify potentially fraudulent NFT projects.
Not ideal if you need an automated, real-time trading bot or a tool to analyze a broad range of crypto assets beyond NFTs.
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7
Language
Jupyter Notebook
License
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Last pushed
Dec 21, 2021
Commits (30d)
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