Text-Based Analysis of Emotion by Considering Tweets

Abstract

People express their emotions in various ways, including facial expression, gesture, speech, speech frequency, writing, etc. In today's world where almost every person interacts with other people via social networking and social media, the emotional state of a person can be determined by analyzing the text collected from his/her posts and comments. Although emotion extraction and analysis from text posted in social networks and social media like facebook, twitter, etc. is a very challenging task, still it can give researchers a valuable insight into the complexity of human emotions. In this paper, test from tweets has been used for detecting 32 primary human emotions and then the emotions were analyzed against gender, location, and temporal information of the considered people.