saniti 0.1.1

Sanitise text while keeping your sanity

# Saniti

Sanitise lists of text documents quickly, easily and whilst maintaining your sanity

The aim was to streamline processing lists of documents into the same outputs into simply specifying the list of texts and defining the sanitization pipeline.

### Usage:

As a function-ish

>original_text = [“I like to moves it, move its”, “I likeing to move it!”, “the of”]

>text = saniti(original_text, [“token”, “destop”, “depunct”, “unempty”, “stem”, “out_corp_dict”]) #sanitise the text while initalising the class

>print(text.text)

As a class

>sani1 = saniti() # initialise the santising class

>text = sani1.process(original_text, [“token”, “destop”, “depunct”, “unempty”, “lemma”, “out_tag_doc”]) # sanitise the text

>print(text)

## Pipeline Components

• “token” - tokenise texts

• “depunct” - remove punctuation

• “unempty” - remove empty words within documents

• “lemma” - lemmatize text

• “destop” - remove stopwords

• “stem” - stem texts

• “out_tag_doc” - turns the texts into gensim tagged documents for Doc2Vec

• “out_corp_dict” - turns the texts into gensim corpus and dictionary