PERSPECTIVAS DE PESQUISA SOBRE INTELIGÊNCIA ESTRATÉGICA ANTECIPATIVA E COLETIVA (IEAc) POR MEIO DA ANÁLISE DE SENTIMENTO: UM CENÁRIO DIDÁTICO DE USO

Guilherme Bertoni Machado, Rodrigo Kraemer, G. Dandolini, João Artur de Souza, J. Todesco
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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.
通过情感分析对预期与集体战略情报(IEAc)的研究视角:一种教学情景
从战略上讲,公司必须保持不断的适应性,换句话说,对未来事件的外部动向保持警惕。因此,有必要通过对这些微弱信号的探测、解释和利用来进行预测。本经验报告的目的是通过情绪分析提出预期和集体战略智能(IEAc)的研究观点。在此背景下,并遵循行动研究方法,提出了一种通过IBM的Node-RED工具实现的情感分析使用的教育场景。实验包括监控Twitter上某个特定主题的帖子,并通过标签进行索引。如果被分析的帖子被情感分析算法认为是负面的,则会向确定的用户发送一封电子邮件,以便该用户可以对该主题进行管理/决策。此场景用于演示这种高级分析技术,以便为IEAc带来创新的方式。
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