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Found 11 papers, 0 papers with code
Using Full-Text Content to Characterize and Identify Best Seller Books
Such an outcome suggests that it is unfeasible to predict the success of books with high accuracy using only the full content of the texts.
Neuromorphic Networks as Revealed by Features Similarity
Well-separated groups were obtained that provide a rich representation of the main similarity interrelationships between the 735 considered neuronal cells.
Text characterization based on recurrence networks
In particular, texts are also characterized by a hierarchical structure that can be approached by using multi-scale concepts and methods.
A pattern recognition approach for distinguishing between prose and poetry
Interestingly, by using an approach based on complex networks to visualize the similarities between the different texts considered, we found that the patterns of poetry vary much more than prose.
How Coupled are Mass Spectrometry and Capillary Electrophoresis?
In order to better understand the organization of the citation network, we considered a multi-scale analysis, in which we used the information regarding sub-clusters.
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.
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.
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.
Topic segmentation via community detection in complex networks
Many real systems have been modelled in terms of network concepts, and written texts are a particular example of information networks.
Classifying informative and imaginative prose using complex networks
In the latter, many approaches have emphasized the semantical content of texts, as it is the case of bag-of-word language models.
