Fuzzy Logic used in Textual Emotion Detection

In this paper we will highlighting of Fuzzy logic that used to detect emotion subjects from textual data. Fuzzy Logic was founded to handling non-value member and convert it to a value member. In this research we will review the history of fuzzy logic with the emotions detection and the techniques used. Emotions are basic part of human internal activity and execute a fateful role of making a decisions and cognitive relation processes such as (sadness, surprise, happiness, disgust, anger, and fear). Emotions can be expressed through deferent forms such as speech, facial expressions, gestures and text. Now the research is working in the field of emotion detection and sentiment analysis. The researchers are working to develop a system to classify emotions represented in text.