How word2vec Learns Meaning
Predicting context to capture similarity.
The Big Question
How can a program learn word meaning without any dictionary? The famous word2vec method answers this with one clever trick.
You Are Your Company
The core idea is the distributional hypothesis: a word is defined by the words around it. Similar context means similar meaning.
All lessons in this course
- From Sparse Counts to Dense Vectors
- How word2vec Learns Meaning
- Loading GloVe Vectors in Python
- Word Math: King Minus Man Plus Woman