AUTOR:     Saima Aman and Stan Szpakowicz
AFILIACJA: University of Ottawa
TYTUŁ:     Identifying Expressions of Emotion in Text


Finding emotions in text is an area of research with wide-ranging
applications. We describe an emotion annotation task of identifying
emotion category, emotion intensity and the words/phrases that
indicate emotion in text. We introduce the annotation scheme and
present results of an annotation agreement study on a corpus of blog
posts. The average inter-annotator agreement on labeling a sentence as
emotion or non-emotion was 0.76. The agreement on emotion categories
was in the range 0.6 to 0.79; for emotion indicators, it was
0.66. Preliminary results of emotion classification experiments show
the accuracy of 73.89%, significantly above the baseline.