Forecasting cryptocurrency value by sentiment analysis: An HPC-oriented survey of the state-of-the-art in the cloud era

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522819" target="_blank" >RIV/70883521:28140/19:63522819 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-16272-6.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-030-16272-6.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-16272-6_12" target="_blank" >10.1007/978-3-030-16272-6_12</a>

Result language

angličtina

Original language name

Forecasting cryptocurrency value by sentiment analysis: An HPC-oriented survey of the state-of-the-art in the cloud era

Original language description

This chapter surveys the state-of-the-art in forecasting cryptocurrency value by Sentiment Analysis. Key compounding perspectives of current challenges are addressed, including blockchains, data collection, annotation, and filtering, and sentiment analysis metrics using data streams and cloud platforms. We have explored the domain based on this problem-solving metric perspective, i.e., as technical analysis, forecasting, and estimation using a standardized ledger-based technology. The envisioned tools based on forecasting are then suggested, i.e., ranking Initial Coin Offering (ICO) values for incoming cryptocurrencies, trading strategies employing the new Sentiment Analysis metrics, and risk aversion in cryptocurrencies trading through a multi-objective portfolio selection. Our perspective is rationalized on the perspective on elastic demand of computational resources for cloud infrastructures.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

High-Performance Modelling and Simulation for Big Data Applications

ISBN

978-3-030-16271-9

Number of pages of the result

25

Pages from-to

325-349

Number of pages of the book

352

Publisher name

Springer

Place of publication

Cham

UT code for WoS chapter

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