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    A Guide to Natural Language Processing for Text and Speech

    While humans have been using language since we arose, a complete understanding of language is a lifelong pursuit that often comes short, even for experts. To task computer...

    Building a Named Entity Recognition model using a BiLSTM-CRF network

    In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated...
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    Enterprise-class NLP with spaCy v3

    spaCy is a python library that provides capabilities to conduct advanced natural language processing analysis and build models that can underpin...
    Data Science Data Science Featured Practical Techniques spaCy Python NLP

    Natural Language Processing in Python using spaCy: An Introduction

    This article provides a brief introduction to natural language using spaCy and related libraries in Python. The complementary Domino project is also...
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    Deep Learning Illustrated: Building Natural Language Processing Models

    Many thanks to Addison-Wesley Professional for providing the permissions to excerpt "Natural Language Processing" from the book, Deep Learning...
    Addison-Wesley Professional Data Science Code Machine Learning Machine Learning Featured Word2vec word embeddings Practical Techniques Recurrent Neural Networks RNN NLP Deep Learning ROC AUC Metric Convolutional Networks Dense Network

    Can Data Science Help Us Make Sense of the Mueller Report?

    This blog post provides insights on how to apply Natural Language Processing (NLP) techniques. The Mueller Report The Mueller Report, officially...
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    Comparing the Functionality of Open Source NLP Libraries

    In this guest post, Maziyar Panahi and David Talby provide a cheat sheet for choosing open source NLP libraries. What do Natural Language Processing...
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    Making PySpark Work with spaCy: Overcoming Serialization Errors

    In this guest post, Holden Karau, Apache Spark Committer, provides insights on how to use spaCy to process text data. Karau is a Developer Advocate...
    Data Science Code Arrow Machine Learning Sparkling ML PySpark Practical Techniques spaCy Python NLP Serialization Spark

    Themes and Conferences per Pacoid, Episode 3

    Paco Nathan‘s column covers themes that include open source, "intelligence is a team sport", and "implications of massive latent hardware". ...
    Data Science Leaders At Work Engineering Active Learning Model Management Machine Learning Hardware NLP Deep Learning Open Source Paco Nathan Column
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