Fine-Grained Spoiler Detection from Large-Scale Review Corpora
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley · 2019
This paper presents computational approaches for automatically detecting critical plot twists in reviews of media products.First, we created a large-scale book review dataset that includes fine-grained spoiler annotations at the sentence-level, as well as book and (anonymized) user information.Second, we carefully analyzed this dataset, and found that: spoiler language tends to be book-specific; spoiler distributions vary greatly across books and review authors; and spoiler sentences tend to jointly appear in the latter part of reviews.Third, inspired by these findings, we developed an end-to-end neural network architecture to detect spoiler sentences in review corpora.Quantitative and qualitative results demonstrate that the proposed method substantially outperforms existing baselines.• This was a perfect, albeit bloody, end to the series.• Though there were deaths that were definitely unwarranted: Fred Hedwig Moody Tonks Lupin Dobby, there were some really heartfelt and memorable moments: Narcissa saving Harry, Ron coming back, Hermione and Ron, Harry and Ginny, Molly killing Bellatrix, etc. • I wish we could have spent more time at Hogwarts, as one of my favorite characters, the amazing Minerva McGonagall, resides there, and we couldn't see more of her amazingness in the Battle of Hogwarts.• Harry Potter was a really, really great series that I think will be (and is) timeless.