Text Mining and Analytics | MOOC by ChengXiang Zhai

Comprehensive course on text mining and analytics, covering fundamental concepts, practical applications, and real-world case studies. Taught by a renowned expert in the field.

Introduction

This comprehensive course on Text Mining and Analytics, taught by Professor ChengXiang Zhai from the University of Illinois at Urbana-Champaign (UIUC), covers a wide range of topics related to text data processing and analysis.

Highlights

• Covers fundamental concepts and techniques in text mining, including text preprocessing, topic modeling, sentiment analysis, and information extraction.
• Provides hands-on experience with practical applications of text mining, such as document clustering, text classification, and text summarization.
• Utilizes real-world datasets and case studies to demonstrate the effectiveness of text mining techniques.
• Taught by a renowned expert in the field of text mining and information retrieval.

Recommendation

This course is highly recommended for anyone interested in learning about the powerful techniques and applications of text mining. It is suitable for students, researchers, and professionals in fields such as data science, natural language processing, and information management, who want to gain a comprehensive understanding of how to extract valuable insights from unstructured text data.

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