{"title":"Insights of strength and weakness of evolving methodologies of sentiment analysis","authors":"M.B. Nasreen Taj , G.S. Girisha","doi":"10.1016/j.gltp.2021.08.059","DOIUrl":null,"url":null,"abstract":"<div><p>With every business process and organization being more concerned about adopting the latest technology towards understanding the success rate and risk associated with the product/service launch, they need to understand the intention and review of their prospective customer. Sentiment Analysis is one such advanced technology to analyze and perceive the behavior of a consumer. However, many challenges hinder analyzing precise sense of sentiments and locating the appropriate sentiment divisions. There has been a significant amount of work being carried out in this direction since the last decade. Furthermore, with the evolution of big data technologies, new methodologies have been introduced to improve sentiment analysis with various evolving applications. This paper provides a comprehensive study on sentiment analysis to provide valuable insight into sentiment analysis approaches and related fields. The paper discusses various essential information associated with the dataset, a new arena of application and methodologies, upcoming research methods, study findings, and further contributing to the ultimate study and research gap.</p></div>","PeriodicalId":100588,"journal":{"name":"Global Transitions Proceedings","volume":"2 2","pages":"Pages 157-162"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gltp.2021.08.059","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Transitions Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666285X2100087X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
With every business process and organization being more concerned about adopting the latest technology towards understanding the success rate and risk associated with the product/service launch, they need to understand the intention and review of their prospective customer. Sentiment Analysis is one such advanced technology to analyze and perceive the behavior of a consumer. However, many challenges hinder analyzing precise sense of sentiments and locating the appropriate sentiment divisions. There has been a significant amount of work being carried out in this direction since the last decade. Furthermore, with the evolution of big data technologies, new methodologies have been introduced to improve sentiment analysis with various evolving applications. This paper provides a comprehensive study on sentiment analysis to provide valuable insight into sentiment analysis approaches and related fields. The paper discusses various essential information associated with the dataset, a new arena of application and methodologies, upcoming research methods, study findings, and further contributing to the ultimate study and research gap.