DeepAI AI Chat
Log In Sign Up

Fine-Grained Spoiler Detection from Large-Scale Review Corpora

05/31/2019
by   Mengting Wan, et al.
University of California, San Diego
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

09/30/2019

The Book of Why: Review

This is a review of "The Book of Why", by Judea Pearl....
10/16/2021

A Dataset for Discourse Structure in Peer Review Discussions

At the foundation of scientific evaluation is the labor-intensive proces...
02/07/2021

Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews

This paper presents an NLP (Natural Language Processing) approach to det...
09/30/2019

Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health

In many review classification applications, a fine-grained analysis of t...
07/21/2020

Will Your Forthcoming Book be Successful? Predicting Book Success with CNN and Readability Scores

Predicting the potential success of a book in advance is vital in many a...
05/19/2021

Font Style that Fits an Image – Font Generation Based on Image Context

When fonts are used on documents, they are intentionally selected by des...
03/26/2016

Measuring Book Impact Based on the Multi-granularity Online Review Mining

As with articles and journals, the customary methods for measuring books...