Kryptooracle
2/21/2020
Overall, the proposed platform can help accelerate decision-making, uncover new opportunities and provide more timely insights based on the available and ever-larger financial data volume and variety. In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is based on (i) a In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is based on (i) a Mohapatra, Shubhankar, Nauman Ahmed, and Paulo Alencar. "KryptoOracle: A Real-Time Cryp-tocurrency Price Prediction Platform Using Twitter Sentiments." 2019 IEEE International Conference on Big Data (Big Data).
13.07.2021
Twitter data: We used the Twitter API to scrap tweets with hashtags. For instance, for Bitcoin, the #BTC and #Bitcoin tags were used. 2/21/2020 In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twit-ter sentiments. The integrative and modular platform is based on (i) a Spark-based architecture which handles the large volume of incoming data in a persistent and fault tolerant way; (ii) an Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, having been widely used as an exchange medium in areas such as financial transaction and asset transfer verification. However, there has been a lack of solutions that can support real-time price prediction to cope with high currency volatility, handle massive heterogeneous data @article{Mohapatra2019KryptoOracleAR, title={KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments}, author={Shubhankar Mohapatra and Nauman Ahmed and P. Alencar}, journal={2019 IEEE International Conference on Big Data (Big Data)}, year={2019}, pages={5544-5551 KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments PDF | Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, having been widely used as an exchange medium in areas such as financial | … KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform the standard models of regression trees and the data of the time series. Keywords: cryptocurrency; Bitcoin; forecasting; point forecast; density In recent months, the Bitcoin has experienced a dramatic price increase and where yt is a scalar representing the observed time series A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments - Nomiizz/KryptoOracle 12/26/2020 Title: KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Authors: Shubhankar Mohapatra , Nauman Ahmed , Paulo Alencar Comments: 7 pages, 8 figures, IEEE Big Data 2019 3/27/2020 3/12/2020 In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is … KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments.
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, ha 02/21/2020 ∙ by Shubhankar Mohapatra, et al. ∙ 0 ∙ share
The integrative and modular platform is based on (i) a Spark-based architecture which handles the large volume of incoming data in a persistent and fault tolerant way; (ii) an approach that supports sentiment analysis which can respond to large amounts KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, ha 02/21/2020 ∙ by Shubhankar Mohapatra, et al. ∙ 0 ∙ share KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments S Mohapatra, N Ahmed, P Alencar 2019 IEEE International Conference on Big Data (Big Data), 5544-5551 , 2019 This indicates that truncated tweet text is a suitable replacement for processing full-length tweet text at a reduced preprocessing cost, which helps process large datasets or real-time prediction systems such as KryptoOracle . Although, in this paper, we used a short-term period for correlating tweets to BTC prices, the experimental period can Mar 12, 2020 · architectural design, the paper also describes the KryptoOracle platform implementation and experimental evaluation.
Feb 21, 2020 · KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. 21 Feb 2020 •
Cumulative Prospect Theory Based Dynamic Pricing for Shared Mobility on Demand Services. Yue Guan, Anuradha M. Annaswamy and H. Eric Tseng. Bitcoin price fluctuation Neural Network Based - CS229 KryptoOracle: A Real-Time. Pang, B., & Lee This is an open sentiments on the stock retrieve, extract, and analyze or neutral sentiments ; access is.
Wang, Yu, and Runyu Chen. "Cryptocurrency price prediction based on multiple market sentiment." This project analyzes the ability of news and social media data to predict price fluctuations for three cryptocurrencies: bitcoin, litecoin and ethereum. Traditional supervised learning algorithms were utilized for text-based sentiment classification, but with a twist. Daily news and social media data was labeled based on actual price changes one day in the future for each coin, rather than … KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments S Mohapatra, N Ahmed, P Alencar 2019 IEEE International Conference … List of computer science publications by Paulo S. C. Alencar. We would like to express our heartfelt thanks to the many users who have sent us their remarks and constructive critizisms via our survey during the past weeks.
Julián A. Parra & Carlos Arango - Joaquín Bernal & José E. Gómez - Javier Gómez & Carlos León - Clara Machado & Daniel Osorio - Daniel Rojas & Nicolás Suárez - Eduardo Yanquen, 2019. KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. CoRR abs/2003.04967 (2020) [i16] view. electronic edition @ arxiv.org KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments.
The integrative and modular platform is based on (i) a In this paper we introduce KryptoOracle, a novel real-time and adaptive cryptocurrency price prediction platform based on Twitter sentiments. The integrative and modular platform is based on (i) a Mohapatra, Shubhankar, Nauman Ahmed, and Paulo Alencar. "KryptoOracle: A Real-Time Cryp-tocurrency Price Prediction Platform Using Twitter Sentiments." 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. Wang, Yu, and Runyu Chen.
The live Bridge Oracle price today is . $0.208910 USD with a 24-hour trading volume of $4,713,024 USD.. Bridge Oracle is up 52.62% in the last 24 hours. The current CoinMarketCap ranking is #202, with a live market cap of $1,671,732,137 USD. It has a circulating supply of 8,002,167,205 BRG coins and a max. supply of 10,000,000,000 BRG coins. Mohapatra, Shubhankar, Nauman Ahmed, and Paulo Alencar. "KryptoOracle: A Real-Time Cryp-tocurrency Price Prediction Platform Using Twitter Sentiments." 2019 IEEE International Conference on Big Data (Big Data).
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. Shubhankar Mohapatra, Nauman Ahmed and Paulo Alencar. 1 Dec 2019. paper also describes the KryptoOracle platform implementation and experimental evaluation. Overall, the proposed platform can help accelerate decision-making, uncover new opportunities and provide more timely insights based on the available and ever-larger financial data volume and variety.
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Title: KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Authors: Shubhankar Mohapatra , Nauman Ahmed , Paulo Alencar Comments: 7 pages, 8 figures, IEEE Big Data 2019
1 Dec 2019. Cumulative Prospect Theory Based Dynamic Pricing for Shared Mobility on Demand Services. Yue Guan, Anuradha M. Annaswamy and H. Eric Tseng. 6/17/2019 This indicates that truncated tweet text is a suitable replacement for processing full-length tweet text at a reduced preprocessing cost, which helps process large datasets or real-time prediction systems such as KryptoOracle . Although, in this paper, we used a short-term period for correlating tweets to BTC prices, the experimental period can KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments Cryptocurrencies, such as Bitcoin, are becoming increasingly popular, ha 02/21/2020 ∙ by Shubhankar Mohapatra, et al.