Applied text analysis with Python ; enabling language-aware data pruducts with machine learning

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientists approach to building language-aware products with applied machine learning. Youll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering.