Neural network based models are a very powerful tool for creating word embeddings, the objective of these models is to group similar words together. These embeddings have been used as features to improve results in various applications such as document classification, named entity recognition, etc. Neural language models are able to learn word representations which have been used to capture sem...

Structured Abstract Purpose – The repertory grid technique was adapted to investigate fiction readers' attitudes and beliefs, with a specific focus on minority ethnic fiction. Design/methodology/approach – The study required participants (n=36) to rate on a 7-point Likert scale a series of 16 provided constructs, using 10 main elements, namely the reader of ten fiction genres. Statistical tests...

This article attempts to construct Woolf’s concept of “modern fiction” in modern context within the two dimensions: fiction’s category and historicity. Firstly, based on the essay “Modern Fiction”, the article aims to construct the connotation of “modern fiction”, which takes “historical consciousness”, “the duration of life”, “man’s subjectivity”, “the complexity of psychological structures” a...

Previous studies have found a positive relationship between exposure to fiction and interpersonal sensitivity. However, it is unclear whether exposure to different genres of fiction may be differentially related to these outcomes for readers. The current study investigated the role of four fiction genres (i.e., Domestic Fiction, Romance, Science-Fiction/Fantasy, and Suspense/Thriller) in the re...

The article presents a survey of the metaphor- and simile-related researches in modern linguistics considers stylistic functions metaphors similes contemporary fiction. It is based on novel Goldfinch (2013) written by American writer D. Tartt, winner Pulitzer Prize for Fiction (2014). proves that tropes question used book are unique striking. They perform figurative descriptive functions, contr...