Posts about nlp

using word vector features with scikit-learn (featuring spacy)
Building a custom Scikit-learn Transformer using GloVe vectors from Spacy as features

Word vectors are useful in NLP tasks to preserve the context or meaning of text data. In this post we will use Spacy to obtain word vectors, and transform the vectors into a feature matrix that can be used in a Scikit-learn pipeline.

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Rihanna coreference resolution paragraph graphic
Coreference resolution in Python with Spacy + NeuralCoref

Coreference resolution is a task in Natural Language Processing that aims to group together all references to an entity, for example, a person like Rihanna, in text. In this post we use NeuralCoref - a Spacy extension - to do this in Python.

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