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Detecting Emotion from Dialogs and Creating Personal Ambient in a Context Aware System

  • Lun-Wei Ku
  • Cheng-Wei Sun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8028)

Abstract

This paper presents a personal ambient creation systme, IlluMe, which detects users’ emotion from their chatting context in instant messages and then analyze them to recommend suitable lighting and music to create a personal ambient. The system includes a mechanism for recording users’ feedback of the provided ambient to learn their preference. The aim of the proposed system is to link human language and emotion with the computer created environment seemlessly. To achieve this, we propose four apporaches to calculate emotion scores of words: Topical Approach, Emotional Approach, Retrieval Approach and Lexicon Approach. Natural language processing techniques such as normalization, part of speech tagging, word bigram utilization, and sentiment dictionaries lookup are incorporated to enhance system performance. Experiments results are shown and discussed, from which we find the system satisfactory and several future research directions are inspired.

Keywords

emotion detection blog articles instant messages ambient creation context aware system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lun-Wei Ku
    • 1
  • Cheng-Wei Sun
    • 2
  1. 1.Institute of Information ScienceAcademia SinicaTaipeiTaiwan
  2. 2.Department of Information Science and EngineeringNational Yunlin University of Science and TechnologyYunlinTaiwan

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