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Found 8 papers, 5 papers with code
Learning and Evaluating Character Representations in Novels
We address the problem of learning fixed-length vector representations of characters in novels.
Analyzing Film Adaptation through Narrative Alignment
Novels are often adapted into feature films, but the differences between the two media usually require dropping sections of the source text from the movie script.
STONYBOOK: A System and Resource for Large-Scale Analysis of Novels
Books have historically been the primary mechanism through which narratives are transmitted.
Prosody Analysis of Audiobooks
Recent advances in text-to-speech have made it possible to generate natural-sounding audio from text.
Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts
We present methods to handle these errors, evaluated on a collection of 19, 347 texts from the Project Gutenberg dataset and 96, 635 texts from the HathiTrust Library.
Optical Character Recognition
Optical Character Recognition (OCR)
Chapter Captor: Text Segmentation in Novels
Books are typically segmented into chapters and sections, representing coherent subnarratives and topics.
What time is it? Temporal Analysis of Novels
Recognizing the flow of time in a story is a crucial aspect of understanding it.
The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets
Indeed, we demonstrate a statistically significant correlation between this score and tweet popularity (likes/replies/retweets) for 13 of the 15 celebrities in our study.
