This article describes a simple unsupervised system for automatic extraction and classification of named entities in French novels. The solution presented combines a set of different standalone classifiers within a meta-recognition system. The system is tested on 35 classic French novels, representing 5 million words and 3,700 names of people and places. The results demonstrate that although no...

This flow can be quantified and compared by analyzing the text using natural language processing techniques. This study uses word embedding models to generate time series for novels and then compare the resulting series using dynamic time warping to find similarities. Considering time series analysis rather than a pure statistical one can capture the flow of the works and thus the similarities ...

popular novels are among recentphenomena in literary trends with a large number of audience and high salerates. this paper is an attempt to analyze the degree and reasons forreading popular novels by students of university of isfahan. we studied popularnovels in three different dimensions:  appearance, content and literary qualities.variables such as gender, level of education, socio-economic s...

We study the distribution dynamics of the demand for books in Italy. We find that for each of three broad sub-markets in which the book publishing industry can be classified − Italian novels, foreign novels and essays − sales over a three-year sample can be adequately fitted by a power law distribution. Our results can be plausibly interpreted in terms of a model of interactions among buyers ex...

This study focuses on paratexts as recontextualization tools, specifically prefaces written for (re)translations, and problematizes Turkish (re)translations of modernist novels in English, which, reasons morality, encountered legal difficulties, were stigmatized, banned, or confiscated the source culture. Recontextualization resonates with (re)producing ideologies, exposing various agents' deli...