International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.4, No.6, November 2014 DOI : 10.5121/ijdkp.2014.4605 51      Shiv Naresh Shivhare and Sri Khetwat Saritha Department of CSE and IT, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India ABSTRACT Emotion Detection is one of the most emerging issues in human computer interaction. A sufficient amount of work has been done by researchers to detect emotions from facial and audio information whereas recognizing emotions from textual data is still a fresh and hot research area. This paper presented a knowledge based survey on emotion detection based on textual data and the methods used for this purpose. At the next step paper also proposed a new architecture for recognizing emotions from text document. Proposed architecture is composed of two main parts, emotion ontology and emotion detector algorithm. Proposed emotion detector system takes a text document and the emotion ontology as inputs and produces one of the six emotion classes (i.e. love, joy, anger, sadness, fear and surprise) as the output. KEYWORDS Textual Emotion Detection; Emotion Word Ontology; Human-Computer Interaction 1. INTRODUCTION Detecting emotional state of a person by analyzing a text document written by him/her appear challenging but also essential many times due to the fact that most of the times textual expressions are not only direct using emotion words but also result from the interpretation of the meaning of concepts and interaction of concepts which are described in the text document. Recognizing the emotion of the text plays a key role in the human-computer interaction [1]. Emotions may be expressed by a person’s speech, face expression and written text known as speech, facial and text based emotion respectively. Sufficient amount of work has been done regarding to speech and facial emotion recognition but text based emotion recognition system still needs attraction of researchers [14]. In computational linguistics, the detection of human emotions in text is becoming increasingly important from an applicative point of view. The paper is organized as following. Section 2 describes the methods used for text based emotion detection, which is classified into keyword spotting technique, lexical affinity method, learning based method and hybrid approach along with the limitations of these existing methods. A proposed architecture which contains the emotion ontology and emotion detector algorithm is explained in Section 3. Based on this, a system is designed for emotion detection from text documents. Finally conclusion is given in Section 4. 2. RELATED WORK The concept of affective computing in 1997 by Since Picard [3] proposed that the role of emotions in human computer interaction. This domain attracted many researchers from computer