The amount of digital books or e-books is increasing day by day. Book Assortment is the job
of assigning a category or set of appropriate genres to a book. The goal of this research …

In today's world due to ever increasing demand to make computers perform tasks of
humans, machine learning is used. It is a tedious task to manually read the entire book and …

Over the last few decades, text classification problems have been extensively researched
and addressed in numerous real-world applications [1-10]. Many researchers are now …

This paper presents algorithmic comparisons for producing a book's genre based on its title.
While some titles are easy to interpret, some are irrelevant to the genre that they belong to …

Digital books and internet retailers are growing in popularity daily. Different individuals
prefer various genres of literature. Categorizing genres facilitates the discovery of books that …

The problem of automatically classifying literary texts into their corresponding
genres/subgenres occurs in Natural Language Processing (NLP) and has applications in …

The main purpose of this research was to determine if the cover and title of a book can be
used to predict its genre. The main motivation behind this was that since the cover or title …

Book Genre Categorization Using Machine Learning Algorithms (K-Nearest Neighbor, Support
Vector Machine and Logistic Regression) Page 1 Parilkumar Shiroya et al, International Journal …

Artificial intelligence is becoming a powerful tool of modernity science, there is even a
science consensus about how our society is turning to a data-driven society. Machine …

Abstract Recent advances in Natural Language Processing are finding ways to place an
emphasis on the hierarchical nature of text instead of representing language as a flat …