Abstract

Language and emotions generally goes hand in hand. Language forms a firm base for communication and expression of emotion. Computers are not capable of understanding and taking decisions on its own. In order to make it analyze the language and detect emotions, Natural Language Processing (NLP) techniques have been applied to automatically identify the information content in text. As emotions influences human thinking, perception and behavior, they play an important role in decision making, and learning, and can even overcome reason under stress conditions. Extraction of emotions from a given input text is one of the most popular research areas today and involves lots of challenges. We need computational approaches that would successfully analyze the online emotion rich content, recognize and aggregate relevant information, and draw useful conclusions. Recognizing emotions conveyed by a text can provide an insight into the author’s intent and sentiment, and can lead to better understanding of the text’s content. Thus, the idea is to propose a system that will accept single document as input in English NLP and processes the input and extract emotions by using a hybrid system.