Text Vectorization
TF-IDF
TF-IDF Description TF-IDF stands for Term Frequency-Inverse Document Frequency. TF-IDF transforms a collection of texts into a matrix of TF-IDF features. It measures the TF-IDF score of a feature, based on the importance and frequency of the feature ...
Count Vectorizer
Count Vectorizer Description Transforms a collection of texts into a sparse matrix at the token level, based on the frequency of each unique word (feature) in the whole text (dictionary). Why to use For vectorization of multiple texts in a ...
Text Vectorization
The standard way of text vectorization is to define a fixed-length vector of unique words (features) from a predefined dictionary. Each entry in the vector corresponds to a unique word from the dictionary. The size of the vector is then equal to the ...