Crypto currency price prediction using BitcoinLSTM model along with sentiment analysis

Crypto Currency (such as Bitcoin, LiteCoin, Ethereum) is a decentralized currency not attached to any governing body which functions on the Block-Chain technology.It has gained a lot of popularity and value in the past few years and has become a valuable asset to invest in.It is a highly volatile asset that is easily swayed by public opinion via tweets.We used a Database of influencers tweets in cryptocurrency (2021-2023) downloaded from Mendely data and analysed it.We also downloaded Bitcoin historical price data for the same date range and then we combined the sentiment data with price data to build our model for it which we later used for the prediction purposes.We achieved an MSE of 2.67 and R2 of 0.79.

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Publication Details

Journal
International Journal of Research Publication and Reviews
Published
2025-04-01
DOI
https://doi.org/10.55248/gengpi.6.0425.16138
Primary Topic
Currency Recognition and Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Crypto currency price prediction using BitcoinLSTM model along with sentiment analysis

Santosh Kumar, Harsh Kumar, Kevin Benjamin, Rayala Viswanath
International Journal of Research Publication and Reviews
Currency Recognition and Detection
article

Crypto currency price prediction using BitcoinLSTM model along with sentiment analysis

Santosh Kumar, Harsh Kumar, Kevin Benjamin, Rayala Viswanath
article en

Abstract

Crypto Currency (such as Bitcoin, LiteCoin, Ethereum) is a decentralized currency not attached to any governing body which functions on the Block-Chain technology.It has gained a lot of popularity and value in the past few years and has become a valuable asset to invest in.It is a highly volatile asset that is easily swayed by public opinion via tweets.We used a Database of influencers tweets in cryptocurrency (2021-2023) downloaded from Mendely data and analysed it.We also downloaded Bitcoin historical price data for the same date range and then we combined the sentiment data with price data to build our model for it which we later used for the prediction purposes.We achieved an MSE of 2.67 and R2 of 0.79.

International Journal of Research Publication and ReviewsVol. 6(4)
Decent work and economic growth
Openalex Percentile: Top 91%
Currency Recognition and Detection
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Crypto currency price prediction using BitcoinLSTM model along with sentiment analysis — Santosh Kumar, Harsh Kumar, et al. · International Journal of Research Publication and Reviews (2025) | TGRS Research Map | TGRS