Analyzing Tweets Based on Emotions

Tweet emotion recognition can be used in a variety of ways with vast amounts of uses. Recognizing the emotion of a sentence is much necessary in this present social world. It can be applied to data on social media from social data mining. We can identify those who are in a bad state of mind, can warn them, or brainwash them to make things positive. In this way, there can be many numbers of advantages once we apply this recognition algorithm to daily life data. This can analyze the sentiment which will be a crucial part when a person/ organization tweets about another entity. We cannot judge that too quickly until we get to know the emotion/ sentiment behind it. In this paper, by using this deep learning with the NLP model, the tweets can be automatically classified based on 6 major emotions present in this world (i.e., Joy, Love, Anger, Surprise, Sadness, Fear).