NLP Programming Cosine Similarity for Beginners
NLP, Machine Learning, Java
Machine Learning,Development,Software Engineering
Lectures -7
Resources -2
Duration -2 hours
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Course Description
This course shows how to perform document similarity using an information-based retrieval method such as vector space model by using cosine similarity technique.
In the first part of the course, students will learn key concepts related to natural language and semantic information processing such as Binary Text Representation, Bag of Words, Lemmatization, TF, IDF, TF-IDF, Cosine Similarity, CamelCase and Identifiers.
In the second part of the course, students will learn how to develop and implement a natural language software to perform document similarity. The course provides the basics to help students understand the theory and practical in Java Programming. The code sample also provides students techniques of how to modularize, trace and implements algebra functionalities.
We conclude the course by providing some guidelines about how to run and debug the program. Students are also given reference links to external resources which help them in gaining better understanding when dealing with natural language software or machine learning.
At the end of the course, you will have a complete understanding of the fundamental concepts of NLP using programming languages. The objective of the course is to learn and familiarise the concepts at the beginner level but an intermediate level of programming knowledge is required. The coding example in this course uses Java Programming Language to illustrate the document similarity.
Goals
What will you learn in this course:
- Students will learn concepts about Natural Language Processing using Vector Space Model. One of the techniques to calculate Cosine Similarity and how to program Cosine Similarity using Java Programming Language. This is one of the most important features to learn when doing machine learning.
Prerequisites
What are the prerequisites for this course?
- Students need to have knowledge about Java Programming and an intermediate level inorder to understand the Java Program given as an example to illustrate cosine similarity.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
- Introduction 02:35 02:35
Illustrating Cosine Similarity using an example
1 Lectures
Lemmatization
1 Lectures
Lemmatization in Java
1 Lectures
Performing document similarity using Cosine Similarity
2 Lectures
Conclusion
1 Lectures
Instructor Details
Ashwin Soorkeea
M. Ashwin Soorkeea is a very experienced tech-savvy person.
- Software Engineer with 15+ years in creating innovative solutions to enhance business productivity for the Financial Sector.
- Highly experienced in all phases of the software development lifecycle from gathering requirements to development and delivery.
- Proficient in developing and maintaining complex systems and databases and working with distributed architectures.
- Skilled in collaborating with cross-functional teams to deliver successful projects in a fast-paced, deadline-driven environment.
M. Ashwin Soorkeea also write technical articles on Medium in his spare time and has started a new role by publishing course content on online platform.
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