Fundamentals of NLP: Word Embeddings to Capture Relationships in Text

Natural Language Processing    |    Intermediate
  • 8 videos | 1h 42s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Before training any text-based machine learning model, it is necessary to encode that text into a machine-readable numeric form. Embeddings are the preferred way to encode text, as they capture data about the meaning of text, and are performant even with large vocabularies. You will start this course by working with Word2Vec embeddings, which represent words and terms in feature vector space, capturing the meaning and context of a word in a sentence. You will generate Word2Vec embeddings on your data corpus, set up a Gaussian Naïve-Bayes classification model, and train it on Word2Vec embeddings. Next, you will move on to GloVe embeddings. You will use the pre-trained GloVe word vector embeddings and explore how to view similar words and identify the odd one out in a set. Finally, you will perform classification using many different models, including Naive-Bayes and Random Forest models.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline how word embeddings work
    Generate word2vec text embeddings
    Train a classification model on text embeddings
  • Work with pre-trained glove embeddings
    Train a gaussian naive bayes model on glove embeddings
    Train classification models for sentiment analysis
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 12s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 3m 45s
    After completing this video, you will be able to outline how word embeddings work. FREE ACCESS
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    3.  Generating Word2Vec Embeddings
    12m
    Find out how to generate Word2Vec text embeddings. FREE ACCESS
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    4.  Training a Classification Model Using Word2Vec Embeddings
    11m 6s
    Discover how to train a classification model on text embeddings. FREE ACCESS
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    5.  Working with Pre-trained GloVe Embeddings
    10m 49s
    In this video, you will learn how to work with pre-trained GloVe embeddings. FREE ACCESS
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    6.  Training a Classification Model Using GloVe Embeddings
    8m 51s
    During this video, you will discover how to train a Gaussian Naive Bayes model on GloVe embeddings. FREE ACCESS
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    7.  Training Different Classification Models for Sentiment Analysis
    8m 51s
    Learn how to train classification models for sentiment analysis. FREE ACCESS
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    8.  Course Summary
    3m 9s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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