Twitter Sentiment Analysis and Its Effect on Society on the Fall of Cryptocurrency

Hafiza Oktasia Nasution; Henni  Noviasari; Salhazan  Nasution; Lisa  Melinda

doi:10.25299/itjrd.2022.10599

Authors

Hafiza Oktasia Nasution Department of Business Economics, University of Riau
Henni Noviasari Department of Business Economics, University of Riau
Salhazan Nasution Department of Informatics, Engineering, University of Riau
Lisa Melinda Department of Business Economics, University of Riau

DOI:

https://doi.org/10.25299/itjrd.2022.10599

Keywords:

Sentiment Analysis, Crypto crash, Twitter, Python

Abstract

Cryptocurrency has become a global phenomenon nowadays. Based on the results of the GlobalWebIndex Survey, around 10% of internet users in Indonesia have digital currencies. But in recent years, the price of the cryptocurrency has fallen. It has resulted in people starting to hesitate to invest in crypto. This problem causes responses from the community, such as positive, negative, and neutral responses. This study aims to classify public opinion through the response to the fall of crypto by applying sentiment analysis through Twitter social media. Sentiment analysis data collection on Twitter uses the python programming language. There are three stages in the data analysis process: data crawling, preprocessing, and the results of classification and visualization. Based on research from sentiment analysis through social media Twitter, it was obtained that 57.9% produced a neutral value, 35.7% produced a positive value, and 6.4% produced a negative value.

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