Text Preprocessing on Emotional Tweets Case Study: Covid-19 Vaccine Rejection

Abstract

Emotion is a feeling, response, reaction to an event or event experienced by a person, can be expressed verbally (spoken) or non-verbally (body language). In the digital world, more precisely text-based social media, humans express their emotions by giving opinions through text / typing and there is a need for emotional analysis related to what opinions are conveyed by that person. Therefore, to overcome the above problems, it is necessary to classify to find out what type of emotion is conveyed in the text. Emotion classification is a technique to extract information in the form of a person's response or opinion on an issue or event which is then grouped based on the types of emotions. The opinions used will be taken from social media twitter. The types of emotion grouping are divided into seven classes, namely anticipation, pleasure, trust, anger, disgust, fear, and sadness. In this practical work, the author has created a dictionary that contains key words for each aspect of emotion