Introduction to Natural Language Processing – Wordnet
Introduction to Natural Language Processing – Wordnet, available at $19.99, has an average rating of 5, with 16 lectures, based on 1 reviews, and has 461 subscribers.
You will learn about Understand NLP Fundamentals: Gain a solid understanding of the fundamental concepts and techniques in NLP Apply NLP Techniques: Learn how to apply NLP techniques Build NLP Models: Develop the skills to build and train NLP models using popular frameworks and libraries like NLTK Explore Advanced NLP Topics: Dive into advanced topics such as machine translation Engage in Real-World NLP Projects: Apply your newfound knowledge to real-world NLP projects This course is ideal for individuals who are Any computer science undergraduate student with a passion for Natural Language Processing or Any data scientist looking to expand her skill set and specialize in NLP or Any working professional in the marketing industry or Any aspiring entrepreneur with a vision to create innovative language-based applications or Any linguistics student passionate about the intersection of language and technology It is particularly useful for Any computer science undergraduate student with a passion for Natural Language Processing or Any data scientist looking to expand her skill set and specialize in NLP or Any working professional in the marketing industry or Any aspiring entrepreneur with a vision to create innovative language-based applications or Any linguistics student passionate about the intersection of language and technology.
Enroll now: Introduction to Natural Language Processing – Wordnet
Summary
Title: Introduction to Natural Language Processing – Wordnet
Price: $19.99
Average Rating: 5
Number of Lectures: 16
Number of Published Lectures: 12
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 12
Original Price: $49.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand NLP Fundamentals: Gain a solid understanding of the fundamental concepts and techniques in NLP
- Apply NLP Techniques: Learn how to apply NLP techniques
- Build NLP Models: Develop the skills to build and train NLP models using popular frameworks and libraries like NLTK
- Explore Advanced NLP Topics: Dive into advanced topics such as machine translation
- Engage in Real-World NLP Projects: Apply your newfound knowledge to real-world NLP projects
Who Should Attend
- Any computer science undergraduate student with a passion for Natural Language Processing
- Any data scientist looking to expand her skill set and specialize in NLP
- Any working professional in the marketing industry
- Any aspiring entrepreneur with a vision to create innovative language-based applications
- Any linguistics student passionate about the intersection of language and technology
Target Audiences
- Any computer science undergraduate student with a passion for Natural Language Processing
- Any data scientist looking to expand her skill set and specialize in NLP
- Any working professional in the marketing industry
- Any aspiring entrepreneur with a vision to create innovative language-based applications
- Any linguistics student passionate about the intersection of language and technology
Welcome to the Part 2 of the comprehensive Natural Language Processing (NLP) course, an exciting journey into the world of human language and intelligent machines! In this course, you will delve into the fascinating field of NLP, equipping yourself with the skills and knowledge needed to unlock the potential of language-driven technologies and drive innovation.
Designed for both beginners and intermediate learners, our NLP course offers a structured and engaging curriculum that covers the fundamental concepts and advanced techniques of NLP. Through a combination of theoretical lessons, hands-on exercises, and real-world projects, you will gain a deep understanding of the underlying principles and practical applications of NLP.
By the end of this course, you will possess a solid foundation in NLP and be equipped to tackle real-world NLP challenges. Whether you aspire to pursue a career in data science, artificial intelligence, or software engineering, the skills you acquire will be highly valuable in various industries such as healthcare, finance, customer support, and social media analytics.
Join the NLP course today and embark on a transformative learning experience that will empower you to shape the future of human-computer interaction, automate language-based tasks, and revolutionize how we interact with technology. Enroll now and unlock the vast potential of Natural Language Processing!
Course Curriculum
Chapter 1: Lexical Resources and Corpora
Lecture 1: Names Corpus
Lecture 2: Pronouncing Dictionary – Part 1
Lecture 3: Pronouncing Dictionary – Part 2
Lecture 4: Translators
Chapter 2: Wordnet
Lecture 1: Introduction to Wordnet
Lecture 2: The WordNet Hierarchy
Lecture 3: Meronyms and Holonyms
Lecture 4: Semantic Similarity
Chapter 3: Web Text Processing
Lecture 1: Electronic Books
Lecture 2: HTML Processing
Chapter 4: Disk Text Processing
Lecture 1: Local Files
Lecture 2: Reading PDF Files
Instructors
-
Lucas Bazilio
Engineer and Mathematician
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- 5 stars: 1 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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