Lokesh Singh, P. Gupta, R. Katarya, Pragyat Jayvant
{"title":"Twitter data in Emotional Analysis - A study","authors":"Lokesh Singh, P. Gupta, R. Katarya, Pragyat Jayvant","doi":"10.1109/I-SMAC49090.2020.9243326","DOIUrl":null,"url":null,"abstract":"As the innovation age encourages individuals to communicate their emotions via web-based media locales like Facebook, Instagram, Twitter, and so on. Numerous individuals share their musings and thoughts step by step in twitter similar to other tweets. This is considered as an exciting and attractive way to express ourselves as inspections are increasing bit by bit, due to which rundown of surveys are necessary for the job where summed up of text is required to give helpful data from the huge number of surveys. It is exceptionally hard for an individual to extricate helpful information or sum up it from the extremely enormous record. This paper focuses on comparison and analysis of different sentiment analysis techniques. It gives a far-reaching review about the recent and past examinations on sentiment analysis, challenges, and approaches for future angles.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC49090.2020.9243326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
As the innovation age encourages individuals to communicate their emotions via web-based media locales like Facebook, Instagram, Twitter, and so on. Numerous individuals share their musings and thoughts step by step in twitter similar to other tweets. This is considered as an exciting and attractive way to express ourselves as inspections are increasing bit by bit, due to which rundown of surveys are necessary for the job where summed up of text is required to give helpful data from the huge number of surveys. It is exceptionally hard for an individual to extricate helpful information or sum up it from the extremely enormous record. This paper focuses on comparison and analysis of different sentiment analysis techniques. It gives a far-reaching review about the recent and past examinations on sentiment analysis, challenges, and approaches for future angles.