Mining Sentiment Words from Microblogs for Predicting Writer-Reader Emotion Transition

The conversations between posters and repliers in microblogs form a valuable writer-reader emotion corpus. This paper adopts a log relative frequency ratio to investigate the linguistic features which affect emotion transitions, and applies the results to predict writers' and readers' emotions... (read more)

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