Bengfort, Benjamin
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
- ISBN 13:
- 9781491963043
- author:
- Bengfort, Benjamin
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2018
- Pages:
- 350
- Dimensions:
- 17.78 x 1.52 x 22.86 centimetres
- Genre:
- Computers, Computer Science, Natural Language Processing
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Unlock the power of natural language with applied machine learning. This practical book presents a data scientist's approach to building language-aware products using Python. You'll learn robust techniques for text analysis, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. With this book, you'll be equipped with practical methods to solve complex real-world problems. Learn how to 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, and build a dialog framework for chatbots and language-driven interaction. By applying these techniques, you'll be able to scale processing power and neural networks to tackle even the most complex tasks.
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