Bitcoin Tweets Sentiment Analysis using Bidirectional Encoding Representational Transformers (BERT)

Huseynov, Samir (2023) Bitcoin Tweets Sentiment Analysis using Bidirectional Encoding Representational Transformers (BERT). Masters thesis, Dublin, National College of Ireland.

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Abstract

In recent years, the cryptocurrency industry has experienced unprecedented growth and has gained attention of people across globe. Similar to traditional currencies, virtual transactions for commodities and facilities are conducted without the involvement of a central authority, utilizing cryptocurrencies. Despite the assurance of authentic and unique transactions through cryptographic techniques, the cryptocurrency business is still in its early stages, and significant concerns have been raised regarding the usage and sustainability. In order to attain a brief and descriptive understanding of public sentiments towards cryptocurrencies, there is a particular interest in employing sentiment analysis. In light of this, the proposed research aims to leverage BERT, an advanced transformer-based model, for sentiment analysis on a dataset of tweets related to Bitcoin. The proposed methodology encompasses several crucial phases, including data preprocessing, BERT model optimization, and the evaluation of model effectiveness. By implementing this suggested approach, we aim to develop sentiment analysis model capable of accurately categorizing the sentiment expressed in Bitcoin-related tweets. The study's findings are anticipated to participate for a wider understanding of sentiment analysis methodologies applied to social media data in the context of cryptocurrencies.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Agarwal, Bharat UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HG Finance > Money > Digital currency Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	08 May 2025 16:23
Last Modified:	08 May 2025 16:23
URI:	https://norma.ncirl.ie/id/eprint/7528

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