- stich 
Stitch receives as input a text as a string type, and replaces all the occurrences of a target word, with a character or a word that is repeated as many times as the length of the target.
from nltk.tokenize import word_tokenize
# text, target, and replacement are string types def stich(text, target, replacement): target = target.lower() txt = word_tokenize(text) new =  for w in txt: if w == target: w = len(w)*replacement new = new + [w] elif w == target.upper() + target[1:]: w = len(w)*replacement new = new + [w] elif w== target.upper(): w = len(w)*replacement new = new + [w] else: new = new + [w] text = ' '.join(new) final= text.replace(' .','.').replace(' ,',',').replace(' :',':').replace(' ;',';').replace('< ','<').replace(' >','>').replace(' / ','/').replace('& ','&') return final
This function in itself could be understood as a filter to process and alter texts. By targeting specific words and stitching them, with a character or a word that is repeated as many times as the length of the target , the user of the tool can intervene inside a text. One could break down the meaning of a text or create new narrative meanings by exposing its structure, taking out or highlighting specific and meaningful words and detaching such text from its original context. This tool offers a broad spectrum of possibilities in which it can be used, from a very political and subversive use, to a more playful and poetic one.
stich("life is life","life"," ")
' is '
stich("life is life","life","*")
'**** is ****'