Packt

Advanced Semantic Processing

Packt

Instructor: Packt

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the fundamental concepts of semantic processing.

  • Analyze and implement Latent Semantic Analysis (LSA).

  • Apply Word2vec techniques through practical case studies.

  • Evaluate and execute real-world projects on semantic processing.

Details to know

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Recently updated!

September 2024

Assessments

1 assignment

Taught in English

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Build your subject-matter expertise

This course is part of the Natural Language Processing with Real-World Projects Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

In this module, we will delve into the foundational aspects of semantic processing. Starting with basic concepts and entities, we will explore the intricacies of arity, reification, and schemas. The module will also cover semantic associations, terms, concepts, and culminate with practical applications like WordNet and word sense disambiguation.

What's included

13 videos2 readings

In this module, we will introduce advanced topics in semantic processing, focusing on distributional semantics. We'll explore the concepts and applications of occurrence and co-occurrence matrices, delve into word vectors and their significance, and understand the metrics used to measure semantic similarity and differences.

What's included

9 videos

In this module, we will continue our exploration of advanced semantic processing techniques. We'll cover Latent Semantic Analysis (LSA) and Word2vec in depth, supported by multiple case studies to demonstrate their practical applications. Additionally, we will investigate the use of these techniques in various classification scenarios to solidify our understanding.

What's included

11 videos1 reading1 assignment

Instructor

Packt
Packt
231 Courses3,858 learners

Offered by

Packt

Recommended if you're interested in Machine Learning

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