Vector Space Models
Word-by-Word Design
Word by Document Design
Euclidean Distance
Cosine Similarity
Intuition
Background
Norm of a Vector
Dot-product of Two Vectors
Implementation
Word Manipulation in Vector Spaces
PCA
Visualization of Word Vectors
Implementation
Putting It Together with Code
Document As a Vector
Reuse
CC SA BY-NC-ND
Citation
BibTeX citation:
@online{bochman2020,
author = {Bochman, Oren},
title = {Classification \& {Vector} {Spaces} - {Word} {Embeddings} and
{Vector} {Spaces}},
date = {2020-10-23},
url = {https://orenbochman.github.io/notes/deeplearning.ai-nlp-c1/l3-pca/l3.html},
langid = {en}
}
For attribution, please cite this work as:
Bochman, Oren. 2020. “Classification & Vector Spaces - Word
Embeddings and Vector Spaces.” October 23, 2020. https://orenbochman.github.io/notes/deeplearning.ai-nlp-c1/l3-pca/l3.html.