{"title":"调查语言情感分析中的性别和种族民族偏见","authors":"Steven Zhou, Arushi Srivastava","doi":"10.1080/23311908.2024.2396695","DOIUrl":null,"url":null,"abstract":"Recently, there has been an increase in text analysis and natural language processing for both research and applied practice, especially to quantify emotions in language (i.e. sentiment analysis). ...","PeriodicalId":46323,"journal":{"name":"Cogent Psychology","volume":"5 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating gender and racial-ethnic biases in sentiment analysis of language\",\"authors\":\"Steven Zhou, Arushi Srivastava\",\"doi\":\"10.1080/23311908.2024.2396695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, there has been an increase in text analysis and natural language processing for both research and applied practice, especially to quantify emotions in language (i.e. sentiment analysis). ...\",\"PeriodicalId\":46323,\"journal\":{\"name\":\"Cogent Psychology\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cogent Psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23311908.2024.2396695\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cogent Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23311908.2024.2396695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
Investigating gender and racial-ethnic biases in sentiment analysis of language
Recently, there has been an increase in text analysis and natural language processing for both research and applied practice, especially to quantify emotions in language (i.e. sentiment analysis). ...
期刊介绍:
One of the largest multidisciplinary open access journals serving the psychology community, Cogent Psychology provides a home for scientifically sound peer-reviewed research. Part of Taylor & Francis / Routledge, the journal provides authors with fast peer review and publication and, through open access publishing, endeavours to help authors share their knowledge with the world. Cogent Psychology particularly encourages interdisciplinary studies and also accepts replication studies and negative results. Cogent Psychology covers a broad range of topics and welcomes submissions in all areas of psychology, ranging from social psychology to neuroscience, and everything in between. Led by Editor-in-Chief Professor Peter Walla of Webster Private University, Austria, and supported by an expert editorial team from institutions across the globe, Cogent Psychology provides our authors with comprehensive and quality peer review. Rather than accepting manuscripts based on their level of importance or impact, editors assess manuscripts objectively, accepting valid, scientific research with sound rigorous methodology. Article-level metrics let the research speak for itself.