Overview

Almost 80% of all data is generated in the real world, which generates a large volume of unstructured data. This unstructured data require complex processing methods, in contrast to organised data stored in databases. Text mining is an effective method for knowledge extraction and decision-making since it includes transforming unstructured text input into structured format. Classification, clustering, association rule mining, topic detection, and summarising are the main text mining tasks. This book examines cutting-edge text mining techniques and uses, such as customer relationship management, social network analysis, financial market forecasting, and document classification. Document classification, which incorporates programmes like phishing, malware, and spam detection, is one of the difficult challenges in text classification. The book suggests brand-new hybrid models for document categorization that work for both binary class and one-class problems, such as OCSVM-LSI, PCA-OCSVM, and LDA-CARM. The difficult task of stock market forecasting, which depends on unstructured news data, is also covered in the book. The suggested model predicts stock prices using a variety of regression approaches, including GMDH, GRNN, MLP, RPART, SVR, RF, and QRRF. The book provides insightful information on text mining's uses and how to make good decisions with it.

Full Product Details

9788196481544

Table of Contents

Reviews

I found Novel Text Mining Techniques and Applications to be an immensely informative and well-written book as a researcher in the subject of text mining. An detailed overview of the most recent developments in the topic is provided by the author, Bangari Shravan Kumar, along with useful applications that experts can use. I strongly advise it to everyone who is interested in text mining. Sara Thompson Anyone wishing to keep up with the most recent developments in text mining should read Bangari Shravan Kumar's Novel Text Mining Techniques and Applications. Both novice readers and seasoned professionals in the subject will find the book to be simple to understand. It's a great resource book for both researchers and practitioners because the author uses real-world examples and case studies. Rajesh Patel For my work as a data analyst, I found Novel Text Mining Techniques and Applications to be an immensely helpful book. The book is thorough and covers a wide range of subjects, from fundamental ideas to sophisticated methods. The book is rich with real-world examples and case studies that made it easier for me to understand the topics because of Bangari Shravan Kumar's engaging and understandable writing style. Everyone interested in text mining should definitely read this book, in my opinion. David Williams

Author Information

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available