{"title":"Sentimental Analysis, Technology and Application","authors":"Shagun Garg, Prakharima Singh, Neha Singh","doi":"10.1109/IEEECONF53624.2021.9668151","DOIUrl":null,"url":null,"abstract":"Sentiment analysis, is often called opinion mining. It is the process of studying people's feelings or opinions based on text data. Sentiment analysis plays an important role in the research area of text mining. It identifies the sentiment or opinion of each person with respect to specific events. For this process, we need to pass a document or text which can be analysed and generates a system or model which represents a summarized form of opinion of a given document. Sentiment analysis is useful for review of movies, products, customer services, opinion about any event etc. This helps us to make decisions regarding a specific item or service, whether it is bad or good or preferred or not preferred. It can be useful in order to identify the opinion of an individual or about any event or person and also finds polarity of text whether positive, negative or neutral. In this, we have discussed the various methods and techniques of sentimental analysis and the areas which are using this technique based on some specific data.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Third International Sustainability and Resilience Conference: Climate Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEECONF53624.2021.9668151","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
Sentiment analysis, is often called opinion mining. It is the process of studying people's feelings or opinions based on text data. Sentiment analysis plays an important role in the research area of text mining. It identifies the sentiment or opinion of each person with respect to specific events. For this process, we need to pass a document or text which can be analysed and generates a system or model which represents a summarized form of opinion of a given document. Sentiment analysis is useful for review of movies, products, customer services, opinion about any event etc. This helps us to make decisions regarding a specific item or service, whether it is bad or good or preferred or not preferred. It can be useful in order to identify the opinion of an individual or about any event or person and also finds polarity of text whether positive, negative or neutral. In this, we have discussed the various methods and techniques of sentimental analysis and the areas which are using this technique based on some specific data.