NLP Programming Cosine Similarity for Beginners

NLP Programming Cosine Similarity for Beginners

Link : Get Udemy Coupon ED | NLP Programming Cosine Similarity for Beginners

Using cosine similarity technique to perform document similarity in Java Programming Language.New

What you'll learn

  • 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

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.  

Who this course is for:

  • Students who are involved in Machine Learning, Software Measurement activities, Semantic Information using Software Engineering Data and NLP.

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