{"title":"Opinion Detection in Hinglish News Reporting","authors":"Ananya, Rishabh Kaushal","doi":"10.1109/AICAPS57044.2023.10074121","DOIUrl":null,"url":null,"abstract":"News bulletins play an important role in people’s daily lives. As humans evolved, so did our ability to form opinions. In the domain of journalism and news reporting, it is desirable that those reporting news do not add their personal opinions. However, we often observe biases in news reporting, and therefore the task of assessing the opinion of news reporters has become a significant issue. In this work, we study the performance of classical machine learning and vectorization techniques on opinion detection in Hinglish code-mixed news debates related to political and religious issues aired on Indian news channels. We were able to achieve the best accuracy of 87% using Logistic Regression algorithm with Bag of Words (BoW) vectorization technique.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICAPS57044.2023.10074121","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
News bulletins play an important role in people’s daily lives. As humans evolved, so did our ability to form opinions. In the domain of journalism and news reporting, it is desirable that those reporting news do not add their personal opinions. However, we often observe biases in news reporting, and therefore the task of assessing the opinion of news reporters has become a significant issue. In this work, we study the performance of classical machine learning and vectorization techniques on opinion detection in Hinglish code-mixed news debates related to political and religious issues aired on Indian news channels. We were able to achieve the best accuracy of 87% using Logistic Regression algorithm with Bag of Words (BoW) vectorization technique.
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