The Core with 128 Pages Text Mining the concepts and implementation

This book presents the concepts, implementation of text mining with real life examples implemented using Python libraries.
You will find ideas how to use texts for extracting valuable and applicable information. The book is designed for academicians, students, researchers and those who are working as data scientist in sector.
The book not only defines but also gives Python examples of Information Retrieval, Information Extraction, Concept Extraction, Classification, Clustering, Sentiment Analysis, Topic Extraction, Text Summarization, Web Mining. 
In the book you will also find a practical example about how to use Genetic Algorithms, Naive Bayes and Artificial Neural Networks for text mining. (M.D.)