{"title":"A Corpus of BTC Tweets in the Era of COVID-19","authors":"Toni Pano, R. Kashef","doi":"10.1109/IEMTRONICS51293.2020.9216427","DOIUrl":null,"url":null,"abstract":"The coronavirus disease 2019 (COVID-19) outbreak has created a great challenge for many industries, including healthcare systems, E-commerce, and transportation. Cryptocurrencies, such as Bitcoin (BTC), is an alternative class of digital assets primarily used as a medium of exchange. In the financial market, data collected from social media such as tweets, posts, and can assist in an early indication of market sentiment. This has frequently been conducted on Twitter data. In particular, this paper provides a corpus of tweet text for Bitcoin-related tweets during the summer of the COVID-19 era. This dataset is publicly available covering a considerable period of roughly three months, to allow people with a similar interest in Twitter, Bitcoin, sentiment analysis, and the financial sector to perform research unimpeded.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"556 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The coronavirus disease 2019 (COVID-19) outbreak has created a great challenge for many industries, including healthcare systems, E-commerce, and transportation. Cryptocurrencies, such as Bitcoin (BTC), is an alternative class of digital assets primarily used as a medium of exchange. In the financial market, data collected from social media such as tweets, posts, and can assist in an early indication of market sentiment. This has frequently been conducted on Twitter data. In particular, this paper provides a corpus of tweet text for Bitcoin-related tweets during the summer of the COVID-19 era. This dataset is publicly available covering a considerable period of roughly three months, to allow people with a similar interest in Twitter, Bitcoin, sentiment analysis, and the financial sector to perform research unimpeded.