Emotion detection from “the SMS of the internet”

@article{Nagarsekar2013EmotionDF,
  title={Emotion detection from “the SMS of the internet”},
  author={Uma Nagarsekar and Aditi Mhapsekar and Priyanka Kulkarni and Dhananjay R. Kalbande},
  journal={2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS)},
  year={2013},
  pages={316-321}
}
Due to the sudden eruption of activity in the social networking domain, analysts, social media as well as general public are drawn to Sentiment Analysis domain to gain invaluable information. In this paper, we go beyond basic sentiment classification (positive, negative and neutral) and target deeper emotion classification of Twitter data. We have focused on emotion identification into Ekman's six basic emotions i.e. JOY, SURPRISE, ANGER, DISGUST, FEAR and SADNESS. We have employed two diverse… CONTINUE READING

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