Introduction to natural language processing with SpaCy get started with the SpaCy Library, data model, and part of speech tagging
"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...
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| Format: | eBook |
| Language: | English |
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[Place of publication not identified]
O'Reilly Media
2017
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "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 the knowledge you need to extend spaCy for functional needs like sentiment models or relation extraction."--Resource description page |
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| Item Description: | Title from title screen (viewed April 10, 2017). - Date of publication from resource description page |
| Physical Description: | 1 streaming video file (30 min., 9 sec.) digital, sound, color |