Catalog Search Results
Author
Publisher
O'Reilly Media
Pub. Date
[2017]
Physical Desc
1 online resource (1 streaming video file (25 min., 5 sec.)) : digital, sound, color
Language
English
Description
"Dependency grammar is a powerful way to represent syntactic relationships within a sentence. More sophisticated than bag-of-words representations, it's used in natural language processing tasks like feature engineering, opinion mining, information retrieval, and relation extraction. In this course, which is designed for basic to intermediate level Python programmers, you'll learn how to represent dependency grammar as an extension to valency grammar...
Author
Publisher
O'Reilly Media
Pub. Date
[2017]
Physical Desc
1 online resource (1 streaming video file (30 min., 9 sec.)) : digital, sound, color
Language
English
Description
"SpaCy is an accessible tool that newcomers to the field of natural language processing (NLP) can use to accomplish large scale information extraction tasks. In this course, which is designed for the intermediate level Python programmer, data scientist Aaron Kramer covers the challenges common to NLP, shows how the spaCy library for Python can address those challenges, explains how and why part-of-speech tagging is used in NLP, and provides you with...
Author
Publisher
O'Reilly Media
Pub. Date
[2017]
Physical Desc
1 online resource (1 streaming video file (32 min., 32 sec.)) : digital, sound, color
Language
English
Description
"Information representation is a fundamental aspect of computational linguistics and learning from unstructured data. This course explores vector space models, how they're used to represent the meaning of words and documents, and how to create them using Python-based spaCy. You'll learn about several types of vector space models, how they relate to each other, and how to determine which model is best for natural language processing applications like...
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