# NFT Appraisal Prediction: Utilizing Search Trends, Public Market Data, Linear Regression and Recurrent Neural Networks

arXiv: https://arxiv.org/abs/2204.12932 · HTML: https://mlsanity.com/paper/2204.12932/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 27 references that are in the map.
- First posted on arXiv 18 Apr 2022.

## Builds on (most cited first, 2 of 2)

- [Mapping the NFT revolution: market trends, trade networks and visual features](https://mlsanity.com/paper/2106.00647/) (2021)
- [TweetBoost: Influence of Social Media on NFT Valuation](https://mlsanity.com/paper/2201.08373/) (2022)

## Built on by (most cited first, 2 of 2)

- [Exploring the Decentraland Economy: Multifaceted Parcel Attributes, Key Insights, and Benchmarking](https://mlsanity.com/paper/2404.07533/) (2024)
- [Digital Asset Valuation: A Study on Domain Names, Email Addresses, and NFTs](https://mlsanity.com/paper/2210.10637/) (2022)

## Abstract (arXiv)

In this paper we investigate the correlation between NFT valuations and various features from three primary categories: public market data, NFT metadata, and social trends data.