Main Reference PaperRecognizing emotions in text using ensemble of classifiers, Engineering Applications of Artificial Intelligence, 2016.
  • In order to recognize the emotions, the proposed work exploits the ensemble of the classifier. The ensemble classifier incorporates the statistical and knowledge-based machine learning method to extract the emotional features from the text data that eases the classification of sentiments.

+ Description
  • In order to recognize the emotions, the proposed work exploits the ensemble of the classifier. The ensemble classifier incorporates the statistical and knowledge-based machine learning method to extract the emotional features from the text data that eases the classification of sentiments.

  • To facilitate the sentiment classification

  • To recognize the emotion behind the text data

+ Aim & Objectives
  • To facilitate the sentiment classification

  • To recognize the emotion behind the text data

  • The ensemble classification based on the weight parameter helps to improve the importance of emotional features

+ Contribution
  • The ensemble classification based on the weight parameter helps to improve the importance of emotional features

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • 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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