Abstract
Nowadays various social networking sites are popularly used all across the world. People keep on updating their status, thoughts, opinions, suggestions, etc., across the continent which often includes their emotions and sentiments. Thus these sites could provide a very vast and diverse amount of emotion data coming from all cultures and traditions over the globe. Our research would be using the data from one such site, twitter, as its emotion corpus for analysis. Using this data, we will be creating an automatic emotion classifier which can then be used as an efficient emotion classifier for any future data.
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Nida, H., Mahira, K., Mudasir, M., Mudasir Ahmed, M., Mohsin, M. (2019). Automatic Emotion Classifier. In: Pati, B., Panigrahi, C., Misra, S., Pujari, A., Bakshi, S. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 713. Springer, Singapore. https://doi.org/10.1007/978-981-13-1708-8_52
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DOI: https://doi.org/10.1007/978-981-13-1708-8_52
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