Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from your Data

© Dipanjan Sarkar 2016

Dipanjan Sarkar, Text Analytics with Python, 10.1007/978-1-4842-2388-8_4

4. Text Classification

Dipanjan Sarkar¹ 

(1)Bangalore, Karnataka, India

Learning to process and understand text is one of the first steps on the journey to getting meaningful insights from textual data. Though it is important to understand how language is structured and specific text syntax patterns, that alone is not sufficient to be of much use to businesses and organizations who want to derive useful patterns and insights and get maximum use out of their vast volumes of text data. Knowledge of language processing coupled with concepts from analytics and machine learning (ML) help in building systems that can leverage text data and help solve real-world ...