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A Hybrid Dictionary Model for Ethical Analysis

  • Daniela América da SilvaEmail author
  • Henrique Duarte Borges Louro
  • Gildárcio Sousa Goncalves
  • Johnny Cardoso Marques
  • Luiz Alberto Vieira Dias
  • Adilson Marques da Cunha
  • Paulo Marcelo Tasinaffo
Conference paper
  • 43 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1134)

Abstract

With the adoption of social media and web services, people have become more likely to share opinions on the web about their daily activities. Thus, social networks end up being seen as an opportunity to bend the rules, making things inadmissible in society. This work aimed to design a dictionary template for sentiment analysis applied to unethical behaviors. It also analyses how prepared the machine is for human dialogue, and proposes a hybrid approach combining existing work for dictionary creation and standard conversation recognition in the Internet. Additionally, it also analyzes current policies to remove inappropriate content and proposes some steps to be considered to reduce spread of inappropriate content in the web.

Keywords

Unethical Behaviour Dictionary Customer opinion Sentiment analysis Model 

Notes

Acknowledgement

The authors thank: the Ecossistema Negócios Digitais Ltda; ITA—the Brazilian Aeronautics Institute of Technology; and FCMF—The Fundação Casimiro Montenegro Filho, for all their general and financial support, during this investigation.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Daniela América da Silva
    • 1
    Email author
  • Henrique Duarte Borges Louro
    • 1
  • Gildárcio Sousa Goncalves
    • 1
  • Johnny Cardoso Marques
    • 1
  • Luiz Alberto Vieira Dias
    • 1
  • Adilson Marques da Cunha
    • 1
  • Paulo Marcelo Tasinaffo
    • 1
  1. 1.Brazilian Aeronautics Institute of TechnologySão José dos CamposBrazil

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