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Text Mining

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.

Complete Guide to Topic Modeling

Complete Guide to Topic Modeling

What is Topic Modeling? Topic modelling, in the context of Natural Language Processing, is described as a method of uncovering hidden structure in a collection of texts. Although that is indeed true it is also a pretty useless definition. Let’s define topic modeling in more practical terms.

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 […]

term-frequency-inverse-document-frequency

Weighting words using Tf-Idf

Updates 29-Apr-2018 – Added string instance check Python 2.7, Python3.6 compatibility (Thanks Greg) If I ask you “Do you remember the article about electrons in NY Times?” there’s a better chance you will remember it than if I asked you “Do you remember the article about electrons in the Physics books?”. Here’s why: an article […]

NLP-FOR-HACKERS

The NLP-FOR-HACKERS Book

NLP-FOR-HACKERS Book

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