How can we better understand Gen-Z slang that is being used today? In order to tackle this challenge, I decided to make a NLP model that processes sentences and determines whether or not they contain Gen-Z slang.
Everyday language rapidly changes as the meanings of words are contextualized to fit certain cultural or demographic needs. There are also words that have double meanings which, depending on the context, can determine whether a sentence has Gen-Z slang in it or not. For example, ‘The stars lit up the sky.’ and ‘This party is lit!’ both use the word ‘lit’ but only the second sentence is considered Gen-Z slang. This can be very confusing for people of the older generations to understand as some sentences contain slang that does not make sense. How can we better understand Gen-Z slang that is being used today? In order to tackle this challenge, I decided to make a NLP model that processes sentences and determines whether or not they contain Gen-Z slang. Using Logistic Regression in particular, I was able to create a model that processes inputted sentences as well as went over methods to checking accuracy.
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