Guilherme Bertoni Machado, Rodrigo Kraemer, G. Dandolini, João Artur de Souza, J. Todesco
{"title":"PERSPECTIVAS DE PESQUISA SOBRE INTELIGÊNCIA ESTRATÉGICA ANTECIPATIVA E COLETIVA (IEAc) POR MEIO DA ANÁLISE DE SENTIMENTO: UM CENÁRIO DIDÁTICO DE USO","authors":"Guilherme Bertoni Machado, Rodrigo Kraemer, G. Dandolini, João Artur de Souza, J. Todesco","doi":"10.21714/2236-417x2020v10n1p152","DOIUrl":null,"url":null,"abstract":"Strategically companies must be in constant adaptability, in other words, watchful to external movements regarding future events. So, there is the need of weak signals exploration through the detection, interpretation and use of these signals to anticipation. This experience report aims to present research perspectives on Anticipative and Collective Strategic Intelligence (IEAc) through Sentiment Analysis. Within this context, and following the action research method, it was proposed an implemented through IBM ́s Node-RED tool, an educational scenario of sentiment analysis use. The experiment consisted in monitoring Twitter posts on a determinate subject indexed through a hashtag. If the analyzed post was considered negative by sentiment analysis algorithm, an e-mail is sent to a determinate user so this user can do the management/decision making on the subject. This scenario is applied for demonstration of this Advanced Analytics technique in order to bring an innovative way to IEAc.","PeriodicalId":366289,"journal":{"name":"Perspectivas em Gestão & Conhecimento","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Perspectivas em Gestão & Conhecimento","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21714/2236-417x2020v10n1p152","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
Strategically companies must be in constant adaptability, in other words, watchful to external movements regarding future events. So, there is the need of weak signals exploration through the detection, interpretation and use of these signals to anticipation. This experience report aims to present research perspectives on Anticipative and Collective Strategic Intelligence (IEAc) through Sentiment Analysis. Within this context, and following the action research method, it was proposed an implemented through IBM ́s Node-RED tool, an educational scenario of sentiment analysis use. The experiment consisted in monitoring Twitter posts on a determinate subject indexed through a hashtag. If the analyzed post was considered negative by sentiment analysis algorithm, an e-mail is sent to a determinate user so this user can do the management/decision making on the subject. This scenario is applied for demonstration of this Advanced Analytics technique in order to bring an innovative way to IEAc.