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Found 3 papers, 1 papers with code
Characterizing narrative time in books through fluctuations in power and danger arcs
While recent studies have focused on quantifying word usage to find the overall shapes of narrative emotional arcs, certain features of narratives within narratives remain to be explored.
Sentiment and structure in word co-occurrence networks on Twitter
We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the two connected words co-occur.
Augmenting semantic lexicons using word embeddings and transfer learning
Sentiment-aware intelligent systems are essential to a wide array of applications.
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