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Using Twitter Data and Lexicon-Based Sentiment Analysis to Study the Attitude Towards Cryptocurrency Market and Blockchain Technology

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Education, Research and Business Technologies

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 321))

Abstract

The use of messages and posts in the online environment has become increasingly popular when it comes to identifying public opinion on various phenomena. A reliable way to explore these attitudes is to collect short messages shared on the Twitter platform, recognized as tweets. This article aims to conduct a sentiment analysis of the cryptocurrency market and Blockchain technology using a series of 5,000 such messages and a lexicon-based approach. A comparison of the sentiment extracted with the help of three of the most popular lexicons (NRC, Bing and Loughran) will be also exposed.

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Author information

Authors and Affiliations

  1. Bucharest University of Economic Studies, Bucharest, Romania

    Denisa Elena Bala & Stelian Stancu

Authors
  1. Denisa Elena Bala
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  2. Stelian Stancu
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Corresponding author

Correspondence to Denisa Elena Bala .

Editor information

Editors and Affiliations

  1. Bucharest University of Economic Studies, Bucharest, Romania

    Cristian Ciurea

  2. Bucharest University of Economic Studies, Bucharest, Romania

    Paul Pocatilu

  3. Romanian Academy, Bucharest, Romania

    Florin Gheorghe Filip

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Bala, D.E., Stancu, S. (2023). Using Twitter Data and Lexicon-Based Sentiment Analysis to Study the Attitude Towards Cryptocurrency Market and Blockchain Technology. In: Ciurea, C., Pocatilu, P., Filip, F.G. (eds) Education, Research and Business Technologies. Smart Innovation, Systems and Technologies, vol 321. Springer, Singapore. https://doi.org/10.1007/978-981-19-6755-9_15

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