Book Genre Categorization Using Machine Learning Algorithms (K-Nearest Neighbor, Support Vector Machine and Logistic Regression) using Customized Dataset

Book Genre Categorization Using Machine Learning Algorithms (K-Nearest Neighbor, Support Vector Machine and Logistic Regression) using Customized Dataset

12 Pages Posted: 23 Mar 2021

See all articles by Brijeshkumar Y. Panchal

Brijeshkumar Y. Panchal

Sardar Vallabhbhai Patel Institute of Technology, Vasad - GTU

Date Written: March 16, 2021

Abstract

Text classification is playing a vital role in current era. Its requirement is increasing day by day
because of increase of text data as number of digital users are increasing rapidly. As a result, machine learning algorithms are used to classify certain text data, resulting in better predictions and accuracy. By constructing a data set with proper structure and data, the genre is predicted by the title and abstract of the book. The dataset will consist books which are translated to English from Guajarati or Hindi originate books. In this paper, some weaknesses in text classification techniques are analysed and worked on to improve the accuracy of structured data. The main focus here was to classify a book by genre using machine learning algorithms.ms.

Keywords: Text Classification, Book Categorization, K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), Logistic Regression (LR), Text Mining, Machine Learning, Genre Prediction.

JEL Classification: International Journal of Computer Science and Mobile Computing

Suggested Citation

Panchal, Brijeshkumar Y., Book Genre Categorization Using Machine Learning Algorithms (K-Nearest Neighbor, Support Vector Machine and Logistic Regression) using Customized Dataset (March 16, 2021). Book Genre Categorization Using Machine Learning Algorithms (K-Nearest Neighbor, Support Vector Machine and Logistic Regression) using Customized Dataset, Available at SSRN: https://ssrn.com/abstract=3805945

Brijeshkumar Y. Panchal (Contact Author)

Sardar Vallabhbhai Patel Institute of Technology, Vasad - GTU ( email )

Gujarat
India

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