Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. (arXiv:2208.13302v1 [cs.LG])

Context: The number of TV series offered nowadays is very high. Due to its
large amount, many series are canceled due to a lack of originality that
generates a low audience.

Problem: Having a decision support system that can show why some shows are a
huge success or not would facilitate the choices of renewing or starting a
show.

Solution: We studied the case of the series Arrow broadcasted by CW Network
and used descriptive and predictive modeling techniques to …

arrow arxiv case deep learning learning series