{"title":"A Survey Paper on the Latest Techniques for Sarcasm Detection Using BG Method","authors":"Ameya Parkar, Rajni Bhalla","doi":"10.1109/ACM57404.2022.00014","DOIUrl":null,"url":null,"abstract":"Sentiment Analysis is gathering a lot of attention nowadays as a lot of online data is gathered through blogs, ecommerce websites, product reviews, etc. which people are expressing online. This data is extracted by companies to judge if their products are having a positive outlook or a negative outlook. Sarcasm is a problem faced in sentiment analysis as it flips the polarity of the sentence. This paper provides a survey on different techniques used by researchers to detect sarcasm. At the end, we propose a methodology to detect sarcasm. The proposed framework will give suggestions to different researchers in the detection of sarcasm.","PeriodicalId":322569,"journal":{"name":"2022 Algorithms, Computing and Mathematics Conference (ACM)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Algorithms, Computing and Mathematics Conference (ACM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACM57404.2022.00014","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 gathering a lot of attention nowadays as a lot of online data is gathered through blogs, ecommerce websites, product reviews, etc. which people are expressing online. This data is extracted by companies to judge if their products are having a positive outlook or a negative outlook. Sarcasm is a problem faced in sentiment analysis as it flips the polarity of the sentence. This paper provides a survey on different techniques used by researchers to detect sarcasm. At the end, we propose a methodology to detect sarcasm. The proposed framework will give suggestions to different researchers in the detection of sarcasm.