Hash2Vec
Library for vectorizing text into a numeric vector for text classification and representation learning
Vectorization
Hash2vec will allow you to get a numerical vector based on the morphological structure of a word and encoding a given word stem into a numerical vector.
Text classification
The resulting vectors can be used to solve classification problems in the field of machine learning using various machine learning libraries such as: Encog, Accord.Net, AForge.Net, NN.Eva and the other libraries.
Fuzzy Search
Due to the morphological construction of the vectors it is possible to calculate the distance for a fuzzy search. The constructed vector space fuzzy search shows better results than the classical Levenshtein implementation.