Name: Applied Text Analysis With Python: Enabling Language Aware Data Products With Machine Learning (en Inglés)
SKU: 50584591
Price: 61.84 USD
Availability: InStock
Author: Benjamin Bengfort; Rebecca Bilbro; Tony Ojeda

portada Applied Text Analysis With Python: Enabling Language Aware Data Products With Machine Learning (en Inglés)

Applied Text Analysis With Python: Enabling Language Aware Data Products With Machine Learning (en Inglés)

Formato

Libro Físico

Editorial

O'reilly Media

Autor

Benjamin Bengfort; Rebecca Bilbro; Tony Ojeda

Año

2018

Idioma

Inglés

N° páginas

332

Encuadernación

Tapa Blanda

ISBN13

9781491963043

N° edición

Categorías

Minería de datos («data mining»)

Applied Text Analysis With Python: Enabling Language Aware Data Products With Machine Learning (en Inglés)

Benjamin Bengfort; Rebecca Bilbro; Tony Ojeda (Autor) · O'reilly Media · Tapa Blanda

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Reseña del libro "Applied Text Analysis With Python: Enabling Language Aware Data Products With Machine Learning (en Inglés)"

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning.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 representationsPerform document classification and topic modelingSteer the model selection process with visual diagnosticsExtract key phrases, named entities, and graph structures to reason about data in textBuild a dialog framework to enable chatbots and language-driven interactionUse Spark to scale processing power and neural networks to scale model complexity