100%(26)26 out of 26 people found this document helpful
This preview shows page 1 out of 1 page.
Assignment Name - Advance Predictive Modelling1.How will you treat text having short cut words (like bcz, u, thr etc…)?Answer:After a text is obtained, we start with text normalization. Text normalization includes:converting all letters to lower or upper caseconverting numbers into words or removing numbersremoving punctuations, accent marks and other diacriticsremoving white spacesexpanding abbreviationsremoving stop words, sparse terms, and particular wordstext canonicalizationShort cut words can be treated in 2 ways:Expand the short cut words:Stemming can bring the words in root form, though stemming object group needs to be defined for these words. Normalization techniques can be applied toexpand these words.Remove the short cut words from text: By Tokenization in python or using “re” regex library or Stop words list can also be updated to remove these words from text.