The article considers the commercially successful works of fiction written in Ukrainian since beginning Ukraine’s independence, and provides a brief excursion into history issue. A bestseller is viewed as multifunctional phenomenon, emergence which determined by not only presence literary text itself, but also infrastructure competent marketing necessary for good sales. In 1990s there were no c...

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...

Latent Semantic Analysis (LSA) is a computational theory of meaning. Meanings of words are extracted from a large corpus of texts by a statistical method and represented as vectors in a semantic space. It is known that similarities of word-pairs computed by LSA can explain various language processing of human(e.g., Landauer and Dumais, 1997). To know features of LSA, we created four semantic sp...

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 research deals with the differences in the writings of male and female authors in the contemporary persian novels, and employs lakoff's (1975) linguistic approach to reach this objective. the main aim of this work is to make sure if the factor of gender may lead to differences in methods of writings between men and women in terms of vocabulary choices and syntactic variations. in this...

Sentiment Analysis is a Natural Language Processing-task that is relevant in a number of contexts, including the analysis of literature. We report on ongoing research towards enabling, for the first time, sentencelevel Sentiment Analysis in the domain of German novels. We create a labelled dataset from sentences extracted from German novels and, by adapting existing sentiment classifiers, reach...