Research (Google Scholar)

Published Papers

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Working Papers

Thesis

  • Detecting Emotion Content In Tweets Using Deep Learning.

    Abstract - Detecting emotion from text is one of the toughest challenges in natural language processing. Developing a system that can detect emotion from social media is a crying need as people are sharing more of their thoughts here. Market analysis, peoples reaction towards a certain event can be easily detected. At the same time, people undergoing psychological problems such as depression can also be identified. In this research work, a model has been proposed that can detect emotion from tweets. Supervised traditional machine learning and deep learning algorithms were trained using the training data and then performance has been evaluated on the test data. The results acquired from the experiment are then compared to conclude the best approach.