Applying Word Embeddings in Natural Language Processing

NLP Word Embeddings

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Start Date: May 28, 2022

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Last date to register: May 25, 2022

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Course duration: 6 hrs

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Cost: donation

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Skill level: intermediate

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Course Description

For whom is this course

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The course is for beginner and enthusiastic intermediate learners of natural language processing.

What you will learn

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This course aims to teach you various Word Embedding techniques and you will build a classification model using text data.

Prerequisites

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A sound understanding of Deep Learning with basic knowledge of LSTM

Syllabus

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  • The basics of Natural Language Processing such as Bag of Words, TF-IDF, etc.
  • Word Embeddings and their advantages in the real world
  • Word Embeddings algorithms:
    • Word2Vec – Continuous Bag of Words and SkipGram Models
    • GloVe
    • FastText
  • Word Embeddings intrinsic vs. extrinsic evaluations
  • Word Embedding Layer with an LSTM model
  • A case study on text classification with text data represented as Word Embedding Vectors

Course Features

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Lectures: Case Studies

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Duration: 6 hrs

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Students: 40

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Certificate: yes

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Cost: donation

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Skill level: intermediate

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Video

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Instructor

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Sai Phani Krishna Parsa

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