Sentiment analysis is a concept or a technique which is used to recognize attitudes and feelings of the people towards actions or subjects. Emotion detection is a process of sentiment analysis that predicts the exceptional emotion rather than just stating positive, neutral or negative. Most of the researchers have already previously worked on speech & facial expressions for emotion recognition. Though, emotion detection in text is a complex task as parameters like tonal stress, pitch available with speech those are missing in text. To identify the emotions from the text, several methods have been using natural language processing (NLP) techniques such as the keyword approach, machine learning approach & lexicon-based approach. Yet there are some boundaries with keywords and lexicon-based approaches as they try to focus on the semantic relations. This research work aims to prepare a survey of various ML techniques which help in the detection and analysis of emotion. In this research work, we tend to go with planned hybrid model to identify emotions in text commands as well as facial expressions