Are Emotions Detected Differently within First-Person Narratives?
نویسنده
چکیده
Emotion classification within text has been attempted many times through lexical and implicit features. It remains to be seen if the extracted features from personal narratives can provide a base model for emotion classification. This paper explores the ability of traditional lexical and syntactic features used in previous emotion classification work toward personal narratives. The results are compared to a model developed from NonNarratives and the results of Balahur et al. (2002), finding that Non-Narrative models produce the best results when tested within the Non-Narrative domain, but Narrative models produce the best generalized results.
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