About this subject
Public Domain Ebook 'Word Vector Anomaly' Rate
This page presents the average word vector anomaly score for public domain ebooks, broken down by year. Essentially, we're measuring how 'unusual' the word usage is within books published in a given year, compared to the general patterns found across a vast collection of texts.
A higher anomaly score suggests that the words within a book, or a collection of books from a specific year, tend to deviate more from typical semantic relationships. This can be indicative of significant shifts in writing styles, emerging themes, or the introduction of new subject matter that might not be immediately obvious through traditional literary analysis.
By examining this metric over time, we can observe potential transformations in the content of freely available literature, offering a unique perspective on historical and cultural changes reflected in the written word.