StoryTelling

来自集智百科
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The Hidden Shape of Stories Reveals Positivity Bias and Gender Bias

To capture the shape of stories is crucial forunderstanding the mind of human beings. In this research, we use word emdeddings methods, a widely used tool in natural language processing and machine learning, in order to quantify and compare emotional arcs of stories over time. Based on trained Google News Word2Vec vectors and film scripts corpora (N =1109), we form the fundamental building blocks of story emotional trajectories. The results demonstrate that there exists only one universal pattern of story shapes in movies. Furthermore, there is a positivity and gender bias in story narratives. More interestingly, the audience reveals a completely different preference from content producers.

Huimin Xu, Da Xiao, Lingfei Wu, Cheng-Jun Wang* arXiv:1811.04599v1 [cs.CL], 2018.

目录

Theory

https://en.wikipedia.org/wiki/Hero%27s_journey

Movie script data

tba

Gutenberg Book Data

 http://www.gutenberg.org/robot/harvest?filetypes[]=txt&langs[]=en 

(download text in English)

Gutenberg-metadata

https://github.com/hugovk/gutenberg-metadata

http://www.gutenberg.org/robot/harvest?filetypes[]=txt&langs[]=en (download text in English)

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