Sentiment Analytics for Crypto Pre and Post Covid: Topic Modeling

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Abstract

Sentiment analysis for Bitcoins and Cryptocurrency is an excellent way to understand how to make smart investment decisions. It provides broad market insights that can be useful for forming trading strategies. It is important to remember that markets are highly impacted by psychology. As such, investors should monitor market sentiment barometers to get better information on potential opportunities in the cryptocurrency market. Using these barometers is easy and can assist you in making better investment decisions. In the cryptographic market, a sentiment is a helpful tool for traders. It is because it combines the opinions, attitudes, moods, and perspectives of the public. Topic extraction was conducted to uncover keywords in feelings that capture the recurring theme of the text. This practice is often used to analyze a wide range of feelings to quickly and effectively identify the most common subjects. We used a few months of Twitter data for pre and post covid and applied the principle of latent semantic analysis and decomposition of singular values to group key water quality questions that impact people’s lives. The study contributes to the literature on text exploration by providing a context to analyze the public’s sense of bitcoin and cryptocurrency before and after COVID. This can help to understand key themes in negative feelings related to crypto-trading and key public concerns could be highlighted and shared with a broader community.

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APA

Dwivedi, D. N., & Vemareddy, A. (2023). Sentiment Analytics for Crypto Pre and Post Covid: Topic Modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13776 LNCS, pp. 303–315). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24848-1_21

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