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.

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)

• "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