{"title":"Understanding Public Sentiment Towards Crypto Assets","authors":"Syahdatul Maulida","doi":"10.58968/icm.v1i1.439","DOIUrl":null,"url":null,"abstract":"This study aims to examine the evolution of public sentiment towards crypto assets. The research approach involves sentiment analysis methodology utilizing the SentiStrength v2.3 software. The data utilized in this study is secondary and obtained from scholarly publications indexed in the Scopus database. A total of 112 scholarly publications related to the research topic were identified. The research findings indicate that positive sentiment accounts for 27%, negative sentiment for 34%, and neutral sentiment contributes 39%. Further analysis reveals that the year 2023 marked a period with the highest number of sentiments, with positive sentiment dominating with 23 sentiments. This sentiment analysis method provides an in-depth understanding of the dynamics of public perception towards crypto assets, and these findings can offer valuable insights into the trends and shifts in sentiment that occur over time. Sentiment analysis can offer deep insights into how cryptocurrencies are perceived by the public and how these perceptions evolve in line with changes in social and economic contexts.","PeriodicalId":517681,"journal":{"name":"Islamic Capital Market","volume":"24 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Islamic Capital Market","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58968/icm.v1i1.439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to examine the evolution of public sentiment towards crypto assets. The research approach involves sentiment analysis methodology utilizing the SentiStrength v2.3 software. The data utilized in this study is secondary and obtained from scholarly publications indexed in the Scopus database. A total of 112 scholarly publications related to the research topic were identified. The research findings indicate that positive sentiment accounts for 27%, negative sentiment for 34%, and neutral sentiment contributes 39%. Further analysis reveals that the year 2023 marked a period with the highest number of sentiments, with positive sentiment dominating with 23 sentiments. This sentiment analysis method provides an in-depth understanding of the dynamics of public perception towards crypto assets, and these findings can offer valuable insights into the trends and shifts in sentiment that occur over time. Sentiment analysis can offer deep insights into how cryptocurrencies are perceived by the public and how these perceptions evolve in line with changes in social and economic contexts.