DFKI-LT - Correlation analysis of sentiment analysis scores and acoustic features in audiobook narratives
Correlation analysis of sentiment analysis scores and acoustic features in audiobook narratives
2 4th International Workshop on Corpora for Research on Emotion Sentiment & Social Signals, Istanbul, Turkey, o.A., 2012
We investigate possible correlations between sentiment analysis scores obtained for sentences of Mark Twains novel The Adventures of Tom Sawyer and acoustic features extracted from the same sentences in the corresponding audiobook. We have found that scores derived from movie reviews or categorisation of emotional stories seem to be more close to the acoustics in the narrative, in particular more correlated with average energy and mean fundamental frequency (F0). We have designed an experiment intended to predict the levels of acoustic expressivity in arbitrary text using sentiment analysis scores and the number of words in the text.
Files: BibTeX, correlationAnalysis.pdf