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You're reading from  Natural Language Processing and Computational Linguistics

Product typeBook
Published inJun 2018
Reading LevelBeginner
PublisherPackt
ISBN-139781788838535
Edition1st Edition
Languages
Python
Tools
Spacy
Concepts
Mobile Application Development
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Author (1)
Bhargav Srinivasa-Desikan
Bhargav Srinivasa-Desikan
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Bhargav Srinivasa-Desikan

Bhargav Srinivasa-Desikan is a research engineer working for INRIA in Lille, France. He is a part of the MODAL (Models of Data Analysis and Learning) team, and he works on metric learning, predictor aggregation, and data visualization. He is a regular contributor to the Python open source community, and completed Google Summer of Code in 2016 with Gensim where he implemented Dynamic Topic Models. He is a regular speaker at PyCons and PyDatas across Europe and Asia, and conducts tutorials on text analysis using Python.
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Summary

We've seen once again how well spaCy deals with computational linguistic tasks and also how useful NER-tagging can be. While being a task that is used in text analysis, the model itself is a statistical one – understanding this helps in setting the context for building our own models if we would like, or in updating the existing model that spaCy uses.

In the next chapter, we will see how spaCy deals with our final section on computational linguistics – dependency parsing.

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Natural Language Processing and Computational Linguistics
Published in: Jun 2018Publisher: PacktISBN-13: 9781788838535
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Bhargav Srinivasa-Desikan

Bhargav Srinivasa-Desikan is a research engineer working for INRIA in Lille, France. He is a part of the MODAL (Models of Data Analysis and Learning) team, and he works on metric learning, predictor aggregation, and data visualization. He is a regular contributor to the Python open source community, and completed Google Summer of Code in 2016 with Gensim where he implemented Dynamic Topic Models. He is a regular speaker at PyCons and PyDatas across Europe and Asia, and conducts tutorials on text analysis using Python.
Read more about Bhargav Srinivasa-Desikan

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