Lecture 4: Vector Space Models

Topics

• Wrapup Classification: Regularization, TFIDF
• Document Vectors: Term-Doc Matrix, Vector Models, Cosine Distance;
• Document Representations: Latent Semantic Analysis; Clustering and SVD;

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

Video

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.;