Natural Language Processing: Python and NLTK

Vector space scoring and query operator interaction

Vector space model is used for the representation of meanings in the form of vectors of lexical items. A vector space model can easily be modeled using linear algebra. So the similarity between vectors can be computed easily.

Vector size is used to represent the size of the vector being used that represents a particular context. The window-based method and dependency-based method are used for the modeling context. In the window-based method, the context is determined using the occurrence of words within the window of a particular size. In a dependency-based method, the context is determined when there is an occurrence of a word in a particular syntactic relation with the corresponding target word. ...