Contributors span several countries and scientific domain: universities, industrial companies, and government laboratories, and demonstrates the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automatic text analysis and mining. This book shows how progress in the field of applied mathematics, computer science, machine learning, natural language processing and collectively can capture, classify, and interpret the words and their contexts. Book: Provides algorithm state-of-the-art techniques for important tasks in text mining applications, such as clustering, classification anomalies, and trend detection, and flow analysis. Presents a survey of visualization techniques and text view multilingual text classification problem.