Albrecht, Jens

Blueprints for Text Analytics using Python: Machine Learning Based Solutions for Common Real World (NLP) Applications

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ISBN 13:
9781492074083
author:
Albrecht, Jens
format:
Paperback / softback
publisher:
O'Reilly Media, Inc, USA
language:
English
Publication Year:
2020
Pages:
350
Dimensions:
23.3 x 17.8 centimeters (0.73 kg
Genre:
Computers, Computer Science, Data Modeling,
Condition:
New
Availability:
Item usually sent within 10 working days
£49.97

Description

Text analysis is crucial for businesses seeking to gain a competitive edge. Recent advancements in natural language processing (NLP) offer numerous solutions to complex challenges, but it can be difficult to determine which tools or techniques are best suited to specific needs.

This practical book provides data scientists and developers with blueprints for effective solutions to common tasks in text analytics and NLP. Using real-world case studies and detailed Python code examples, the authors guide you through extracting data from APIs and web pages, preparing textual data for statistical analysis and machine learning, and applying machine learning techniques for classification, topic modeling, and summarization.

Additionally, the book covers exploring and visualizing semantic similarities with word embeddings, identifying customer sentiment in product reviews, and creating a knowledge graph based on named entities and their relations. With these practical solutions, you can quickly get started with your text analysis projects.

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