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Word Embeddings Cover

Complete Guide to Word Embeddings

Introduction We talked briefly about word embeddings (also known as word vectors) in the spaCy tutorial. SpaCy has word vectors included in its models. This tutorial will go deep into the intricacies of how to compute them and their different applications.

spaCy Tutorial Cover

Complete Guide to spaCy

Updates 29-Apr-2018 – Fixed import in extension code (Thanks Ruben) spaCy is a relatively new framework in the Python Natural Language Processing environment but it quickly gains ground and will most likely become the de facto library. There are some really good reasons for its popularity:

TextRank for Text Summarization

TextRank for Text Summarization

The task of summarization is a classic one and has been studied from different perspectives. The task consists of picking a subset of a text so that the information disseminated by the subset is as close to the original text as possible. The subset, named the summary, should be human readable. The task is not […]

Introduction to Python NLTK

Introduction to NLTK

NLTK (Natural Language ToolKit) is the most popular Python framework for working with human language. There’s a bit of controversy around the question whether NLTK is appropriate or not for production environments. Here’s my take on the matter:

Sentence Similarity Illustration

Compute sentence similarity using Wordnet

It’s common in the world on Natural Language Processing to need to compute sentence similarity. Wordnet is an awesome tool and you should always keep it in mind when working with text. It’s of great help for the task we’re trying to tackle. Suppose we have these sentences:




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