Matheus Santos Da Silva, Alisson Rodrigo Santana dos Santos, Charles Vilela de Souza, Cleyton Rodrigues
{"title":"机器学习策略分析推特文本中的积极或消极情绪","authors":"Matheus Santos Da Silva, Alisson Rodrigo Santana dos Santos, Charles Vilela de Souza, Cleyton Rodrigues","doi":"10.23919/CISTI58278.2023.10211836","DOIUrl":null,"url":null,"abstract":"The task of analyzing people’s emotions and feelings is known as Sentiment Analysis (SA). Currently, several techniques have been used together for extracting and detecting feelings, such as Natural Language Processing (NLP) and Machine Learning (ML) algorithms. The present work aims to reuse and evaluate an intelligent model to analyze positives or negatives in Portuguese texts on Twitter, considering that these feelings can be indicators of depression. Therefore, we have used ML algorithms together with SA and NLP techniques, resulting in an accuracy of 79%.","PeriodicalId":121747,"journal":{"name":"2023 18th Iberian Conference on Information Systems and Technologies (CISTI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Learning Strategies to Analyze Positive or Negative Sentiments in Twitter Texts\",\"authors\":\"Matheus Santos Da Silva, Alisson Rodrigo Santana dos Santos, Charles Vilela de Souza, Cleyton Rodrigues\",\"doi\":\"10.23919/CISTI58278.2023.10211836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The task of analyzing people’s emotions and feelings is known as Sentiment Analysis (SA). Currently, several techniques have been used together for extracting and detecting feelings, such as Natural Language Processing (NLP) and Machine Learning (ML) algorithms. The present work aims to reuse and evaluate an intelligent model to analyze positives or negatives in Portuguese texts on Twitter, considering that these feelings can be indicators of depression. Therefore, we have used ML algorithms together with SA and NLP techniques, resulting in an accuracy of 79%.\",\"PeriodicalId\":121747,\"journal\":{\"name\":\"2023 18th Iberian Conference on Information Systems and Technologies (CISTI)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 18th Iberian Conference on Information Systems and Technologies (CISTI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/CISTI58278.2023.10211836\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 18th Iberian Conference on Information Systems and Technologies (CISTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/CISTI58278.2023.10211836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine Learning Strategies to Analyze Positive or Negative Sentiments in Twitter Texts
The task of analyzing people’s emotions and feelings is known as Sentiment Analysis (SA). Currently, several techniques have been used together for extracting and detecting feelings, such as Natural Language Processing (NLP) and Machine Learning (ML) algorithms. The present work aims to reuse and evaluate an intelligent model to analyze positives or negatives in Portuguese texts on Twitter, considering that these feelings can be indicators of depression. Therefore, we have used ML algorithms together with SA and NLP techniques, resulting in an accuracy of 79%.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
