Papers by Isabelle van der Vegt
Identifying the sentiment styles of YouTube’s vloggers (D18-1)
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| Challenge: | Using unsupervised clustering, we identified seven distinct continuous sentiment trajectories characterized by fluctuations of sentiment throughout a vlog’s narrative time. |
| Approach: | They propose to automatically analyze the vlogs' linguistic styles using a dynamic intra-textual approach to sentiment analysis to shed light on the different temporal trajectories used by vloggers. |
| Outcome: | The proposed method predicts that vlogs with positive endings are the most prevalent in the sample. |