Main Reference PaperEffective hate-speech detection in Twitter data using recurrent neural networks, Applied Intelligence, 2018 [Java/Python/R]
  • An ensemble classifier is proposed to detect the hate-speech in a short text, such as tweets. By exploiting an ensemble of Recurrent Neural Network (RNN) classifiers, and it incorporates various features associated with users’ behavioral characteristics, such as the tendency to post abusive messages, as input to the classifier

+ Description
  • An ensemble classifier is proposed to detect the hate-speech in a short text, such as tweets. By exploiting an ensemble of Recurrent Neural Network (RNN) classifiers, and it incorporates various features associated with users’ behavioral characteristics, such as the tendency to post abusive messages, as input to the classifier

  • To improve the classification accuracy.

  • To classify the short messages.

+ Aim & Objectives
  • To improve the classification accuracy.

  • To classify the short messages.

  • The proposed method investigate other sources of information that can be utilized to detect hateful messages.

+ Contribution
  • The proposed method investigate other sources of information that can be utilized to detect hateful messages.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Software Tools & Technologies
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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