Exploring the Importance of Modification Relation for Emotional Keywords Annotation and Emotion Types Recognition

Abstract

Abstract:In this study, we make a scheme to explore the importance of modification relation for the emotional keywords annotation and emotion types recognition. We extract three modification features which are degree words, negative words and conjunctions from the Chinese emotion corpus named Ren-CECps. Beside word and part-ofspeech, three modification relations are adopted as feature in this study. We have carried out eight experiments with different feature sets for emotional keywords annotation and emotion types recognition in sentence level. Eight basic emotion types have been selected and Conditional Random Fields have been employed as the algorithm. In the part of evaluation, we demonstrate the importance of the modification features and our experiment results show the effectiveness of the modification features for improving the performance of emotional keywords annotation and emotion types recognition.

A Hybrid Emotion Recognition on Android Smart Phones

“…Initially we are concentrating on the words that can directly express emotions [13] [12], which we refer them as 'emotional key words'. From the work done by Wu [13] [12], our work can be extended to incorporate other words as well.…”