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Python Natural Language Processing

You're reading from   Python Natural Language Processing Advanced machine learning and deep learning techniques for natural language processing

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121423
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Practical Understanding of a Corpus and Dataset 3. Understanding the Structure of a Sentences 4. Preprocessing 5. Feature Engineering and NLP Algorithms 6. Advanced Feature Engineering and NLP Algorithms 7. Rule-Based System for NLP 8. Machine Learning for NLP Problems 9. Deep Learning for NLU and NLG Problems 10. Advanced Tools 11. How to Improve Your NLP Skills 12. Installation Guide

Extension of the word2vec concept

The word2vec concept can be extended to different levels of text. This concept can be applied on the paragraph level or on the document level, and apart from this, you can also generate the global vector, which is called GloVe. We will try to understand them. Here, we are going to get an overview of each of the concepts.

Here are the following extended concepts built by using the word2vec concept:

  • Para2vec
  • Doc2vec
  • GloVe

Para2Vec

Para2vec stands for paragraph vector. The paragraph vector is an unsupervised algorithm that uses fixed-length feature representation. It derives this feature representation from variable-length pieces of texts such as sentences, paragraphs, and documents.

Para2vec...

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