A fast NLP tokenizer that detects tokens and remove duplications and punctuations
Project description
doc2term
A fast NLP tokenizer that detects sentences, words, numbers, urls, hostnames, emails, filenames, and phone numbers. Tokenize integrates and standardize the documents, remove the punctuations and duplications.
Installation
pip install doc2term
Compilation
The installation requires to compile the original C code using gcc.
Usage
Example notebook: doc2term
Example
>>> import doc2term
>>> doc2term.doc2term_str("Actions speak louder than words. ... ")
"Actions speak louder than words ."
>>> doc2term.doc2term_str("You can't judge a book by its cover. ... from thoughtcatalog.com")
"You can't judge a book by its cover . from thoughtcatalog.com"
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