Applied Text Analysis with Python
20 € VB
+ Versand ab 0,49 €Beschreibung
You'll 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. By the end of the book, you'll be equipped with practical methods to solve any number of complex real-world problems.
Preprocess and vectorize text into high-dimensional feature representations
Perform document classification and topic modeling
Steer the model selection process with visual diagnostics
Extract key phrases, named entities, and graph structures to reason about data in text
Build a dialog framework to enable chatbots and language-driven interaction
Use Spark to scale processing power and neural networks to scale model complexity
NP: 45€
