Lecture 4: Vector Space Models

Topics

• Wrapup Classification: Regularization, Brief Introduction to Neural Networks
• Document Vectors: Term-Doc Matrix, Vector Models, Cosine Distance;
• Latent Semantic Analysis;
• Clustering and SVD;

Video

Slides: lecture-04-vector-spaces.pdf Download lecture-04-vector-spaces.pdf

Links to an external site.

Readings: JM Ch6 Links to an external site.;

Other Links

• Blog article on Vector representations Links to an external site.;
• JAIR survey (Turney and Pantel) Links to an external site.;
• Semi-supervised learning using word representations Links to an external site.;