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    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 corpus and Keras. The...

    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...

    Natural Language 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...

    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...

    Comparing the Functionality of Open Source Natural Language Processing 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...

    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...

    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". ...