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Found 7 papers, 2 papers with code
Semantic flow in language networks
In this study we propose a framework to characterize documents based on their semantic flow.
Paragraph-based complex networks: application to document classification and authenticity verification
With the increasing number of texts made available on the Internet, many applications have relied on text mining tools to tackle a diversity of problems.
An Image Analysis Approach to the Calligraphy of Books
Text network analysis has received increasing attention as a consequence of its wide range of applications.
PELESent: Cross-domain polarity classification using distant supervision
The enormous amount of texts published daily by Internet users has fostered the development of methods to analyze this content in several natural language processing areas, such as sentiment analysis.
On the "Calligraphy" of Books
In this paper, we explore a complex network approach to assign the authorship of texts based on their mesoscopic representation, in an attempt to capture the flow of the narrative.
Labelled network subgraphs reveal stylistic subtleties in written texts
The vast amount of data and increase of computational capacity have allowed the analysis of texts from several perspectives, including the representation of texts as complex networks.
Representation of texts as complex networks: a mesoscopic approach
In order to grasp the mesoscopic characteristics of semantical content in written texts, we devised a network model which is able to analyze documents in a multi-scale fashion.
