Flavio Carvalho, R. G. Rodrigues, G. Santos, Pedro Jacinto Cruz, Lilian Ferrari, G. Guedes
{"title":"用社交网络中的情感分析评估2015年LIWC词典的巴西葡萄牙语版本","authors":"Flavio Carvalho, R. G. Rodrigues, G. Santos, Pedro Jacinto Cruz, Lilian Ferrari, G. Guedes","doi":"10.5753/brasnam.2019.6545","DOIUrl":null,"url":null,"abstract":"LIWC is a text analysis program that categorizes words into gram- matical and psychologically derived categories. The currently available LIWC lexicon for Brazilian Portuguese (LIWC 2007pt) is based on the 2007 version of LIWC program. As several studies indicated, LIWC 2007pt shows perfor- mance and categorization problems. In this scenario, this work highlights a new Brazilian Portuguese LIWC lexicon (LIWC 2015pt), based on LIWC 2015 program. This work compares the performance of LIWC 2007pt and LIWC 2015pt in classification tasks. Three experiments were conducted and the results indi- cate LIWC 2015pt outperforms LIWC 2007pt in all three tasks.","PeriodicalId":428504,"journal":{"name":"Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Evaluating the Brazilian Portuguese version of the 2015 LIWC Lexicon with sentiment analysis in social networks\",\"authors\":\"Flavio Carvalho, R. G. Rodrigues, G. Santos, Pedro Jacinto Cruz, Lilian Ferrari, G. Guedes\",\"doi\":\"10.5753/brasnam.2019.6545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"LIWC is a text analysis program that categorizes words into gram- matical and psychologically derived categories. The currently available LIWC lexicon for Brazilian Portuguese (LIWC 2007pt) is based on the 2007 version of LIWC program. As several studies indicated, LIWC 2007pt shows perfor- mance and categorization problems. In this scenario, this work highlights a new Brazilian Portuguese LIWC lexicon (LIWC 2015pt), based on LIWC 2015 program. This work compares the performance of LIWC 2007pt and LIWC 2015pt in classification tasks. Three experiments were conducted and the results indi- cate LIWC 2015pt outperforms LIWC 2007pt in all three tasks.\",\"PeriodicalId\":428504,\"journal\":{\"name\":\"Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5753/brasnam.2019.6545\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/brasnam.2019.6545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating the Brazilian Portuguese version of the 2015 LIWC Lexicon with sentiment analysis in social networks
LIWC is a text analysis program that categorizes words into gram- matical and psychologically derived categories. The currently available LIWC lexicon for Brazilian Portuguese (LIWC 2007pt) is based on the 2007 version of LIWC program. As several studies indicated, LIWC 2007pt shows perfor- mance and categorization problems. In this scenario, this work highlights a new Brazilian Portuguese LIWC lexicon (LIWC 2015pt), based on LIWC 2015 program. This work compares the performance of LIWC 2007pt and LIWC 2015pt in classification tasks. Three experiments were conducted and the results indi- cate LIWC 2015pt outperforms LIWC 2007pt in all three tasks.
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