Comparing Writing Styles using Word Embedding and Dynamic Time Warping

TL;DR

This paper proposes a method to compare writing styles of classic novels by modeling their sentiment flow as signals in word embedding space and applying dynamic time warping for analysis.

Contribution

It introduces a novel approach combining word embeddings and dynamic time warping to quantify and compare literary writing styles.

Findings

Sentiment flow patterns differ significantly across novels.

The method effectively distinguishes between different authors' styles.

Quantitative analysis reveals stylistic similarities and differences.

Abstract

The development of plot or story in novels is reflected in the content and the words used. The flow of sentiments, which is one aspect of writing style, can be quantified by analyzing the flow of words. This study explores literary works as signals in word embedding space and tries to compare writing styles of popular classic novels using dynamic time warping.