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.
Read MoreWord 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.
Read MoreCoreference 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.
Read More