I-CARE: Intelligent Context Aware system for Recognizing Emotions from text

Because text, either written or spoken, is the unrivaled way to communicate one´s feelings and emotions, it is the best modality to harness for building efficient emotion recognition systems. However, researches on building text-based emotion recognition systems are progressing slowly compared to face or voice based systems. In fact, natural language evolution and text-related contexts are both constraints that slow down the progress of text-based emotion detection. This paper introduces I-CARE: a new Intelligent Context Aware system for Recognizing Emotions from text. This system considers three essential points to infer emotion: presence of affective keywords in the text, general context surrounding the human subject and how he/she perceives it emotionally. To do so, we use a mobile application that gathers text typed by its user whenever he/she uses an Instant Messaging (IM) application or publishes content on a social media. The application then sends it to a remote server for text processing and emotion extraction. In addition to text, the mobile application also collects contextual data, such as: location and upcoming events when available, to increase the accuracy of text-based emotion detection.