MatlabNLP is a collection of efficient algorithms, data structures and well-tested functions for doing Natural Language Processing in the Matlab environment. We are continuously speeding up the underlying algorithms and functions. You can use the whole library or you can just grab functions and methods that you need and copy them onto your project folders.
Objective
To produce a collection of useful NLP tools for MATLAB
Components
Tokenizers
tf-idf
Term Frequency (multinomial featurizer)
Bernoulli Featurizer
Stemmers
Reverse Stemmer
Useful Corpora
Declaration of Independence
English conversations
Learning Models
Naive Bayes
Logistic Regression
SVM
Linear Regression
Evaluation Measures
Precision
Recall
Fallout
F1-measure
MSE (mean square error)
https://github.com/faridani/MatlabNLP
