Corpus analysis and automatic detection of emotion-including keywords

Bo Yuan; Xiangqing He; Ying Liu

doi:10.1117/12.2052979

24 December 2013 Corpus analysis and automatic detection of emotion-including keywords

Bo Yuan, Xiangqing He, Ying Liu

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90672G (2013) https://doi.org/10.1117/12.2052979
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

Emotion words play a vital role in many sentiment analysis tasks. Previous research uses sentiment dictionary to detect the subjectivity or polarity of words. In this paper, we dive into Emotion-Inducing Keywords (EIK), which refers to the words in use that convey emotion. We first analyze an emotion corpus to explore the pragmatic aspects of EIK. Then we design an effective framework for automatically detecting EIK in sentences by utilizing linguistic features and context information. Our system outperforms traditional dictionary-based methods dramatically in increasing Precision, Recall and F1-score.

Citation Download Citation

Bo Yuan, Xiangqing He, and Ying Liu "Corpus analysis and automatic detection of emotion-including keywords", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90672G (24 December 2013); https://doi.org/10.1117/12.2052979

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