Mathematica Essentials - the first PRO COURSE from Socratica
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Natural Language Processing (NLP) is a specialized field within machine learning, focused on interpreting and processing HUMAN language, or "natural" language. This is crucial, as only a fraction of the population knows a computer language.

In this video, we explore the "Bag of Words" (or BoW) technique, which is a way to transform docs from something qualitative (text) into something quantitative (word frequencies, etc.). We'll discuss the math terminology used in this area, including sets and multisets, creating a vector (embedding in feature space), normalization, and more. We'll use the Wolfram Language to work these examples. In a future lesson, we will explore these concepts using Python as well.

BTW—Socratica offers a pro course, 'Mathematica Essentials,' providing key concepts for mastering Wolfram products:
https://www.socratica.com/courses/mat...

You can jump to sections of the video here:
0:00 Intro & Conceptual Definition
0:48 Making text quantitative (word frequencies)
1:53 Feature Extraction
2:16 Example: The Foundation
3:34 Word Frequencies and repeats
4:03 Math terminology: Set and Multiset
5:06 Create a vector (embedding in feature space)
7:03 Example: War & Peace (Normalization)

Thank you to our VIP Patreon Members who helped make this video possible!
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The Wolfram Language
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The Mythical Man Month - Essays on Software Engineering & Project Management
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Innumeracy: Mathematical Illiteracy and Its Consequences
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Mindset by Carol Dweck
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Written & Produced by Michael Harrison & Kimberly Hatch Harrison
Edited by Megi Shuke

About our Instructors:

Michael earned his BS in Math from Caltech, and did his graduate work in Math at UC Berkeley and University of Washington, specializing in Number Theory. A self-taught programmer, Michael taught both Math and Computer Programming at the college level. He applied this knowledge as a financial analyst (quant) and as a programmer at Google.

Kimberly earned her BS in Biology and another BS in English at Caltech. She did her graduate work in Molecular Biology at Princeton, specializing in Immunology and Neurobiology. Kimberly spent 16+ years as a research scientist and a dozen years as a biology and chemistry instructor.

Michael and Kimberly Harrison co-founded Socratica.
Their mission? To create the education of the future.

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#NaturalLanguageProcessing #BagOfWords #Mathematica