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Re-presenting a Story by Emotional Factors using Sentiment Analysis Method

Abstract

Remembering events is affected by personal emotional status. We examined the psychological status, personalfactors, and social factor of undergraduate students (N=64) and got summaries of a story, Chronicle of a Death Foretold fromthem. As transfer learning, we collected 38,265 movie review data to train a sentimental analysis model based on convolutionalneural network, using the model to score each summary. The results of CES-D and PANAS show the relationship betweenemotion and memory retrieval; depressed people have shown a tendency of representing a story more negatively, and seemedless expressive. People with full of emotion have retrieved their memory more expressively, using more negative words. Thecontributions of this study can be summarized as follows: First, we lighten the relationship between emotion and its effects onstoring or retrieving memories. Second, we suggest objective methods to evaluate the intensity of emotion in words, using asentimental analysis model.

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