A Stacking Integrated Learning Framework for Digital Currency Prediction Using Social Media Data

Amone Chanthaphavong , Phouthone VONGPASITH , Phonesouda Souphamith , Tiengthong Phengphachanh , Damduan Kingmaneesengkeo

Stacking Integrated Learning, Social Media Data, Digital Currency, Data Mining, Web Crawler.

The development of the internet not only provides convenience for the majority of investors and users to invest in stocks, but also promotes the development of digital currencies through online social media. Although, social media data will also significantly affect the digital currency market, the number of digital currency investors is still very small, due to the lack of information acquisition channels for investors. From a practical point of view, it is valuable to study the relationship between social media data and digital currency and provide a basis for investors' decision-making. Therefore, it is necessary to combine data on multiple mainstream social media platforms to explore its impact on the performance of the digital currency market. Based on the stacking integrated learning framework, this paper studies the impact of social media data on the digital currency market. To obtain the research sample data web crawler technology is used. The development of the influencing factors of data currency prices through the python self-encoding method is conducted. The stacking integrated learning framework used in this paper increases the model's prediction accuracy of sample data by 1.32%.

Published Paper   E-Certificate

"A Stacking Integrated Learning Framework for Digital Currency Prediction Using Social Media Data", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 9, page no.162 - 167, September-2024, Available :https://ijsdr.org/papers/IJSDR2409016.pdf

Volume 9 Issue 9, September-2024

Pages : 162 - 167

Paper Reg. ID: IJSDR_212425

Published Paper Id: IJSDR2409016

Downloads: 000347063

Research Area: Computer Science & Technology 

Country: Xaythany, Vientiane Capital, Lao People's Democratic Republic

Published Paper PDF: https://ijsdr.org/papers/IJSDR2409016

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2409016

DOI: https://zenodo.org/doi/10.5281/zenodo.13753324

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition