faridani / pynlp Goto Github PK
View Code? Open in Web Editor NEW... just because nltk is too heavy
... just because nltk is too heavy
PyNLP is designed to perform simple NLP procedures (examples include tokenizing, removing stop words, frequency analysis,...) Design Features: - Light weight - PyNLP is multi-core friendly. It will utilize all cores for its operations. - For each module unittests are provided as part of the source code. Unit tests cover most of the functions and modules Ideas for the future: - Combine Tokenize and Preprocess into one package Help: - preprocess contains functions for tokenizing - dataTools helps you import your data Please note: This project is still in very early stages. Please report bugs to [email protected] Siamak Faridani UC Berkeley July 2010 [email protected]
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