Create an Ngram and do the following:
Run an Ngram with a single term and discuss the query (e.g., Management).
Run a new Ngram with 2 terms and discuss the relationship (e.g., Management, Leadership).
Run another NGram with a third term added and discuss what happens (e.g., Management, Leadership, Corporate Social Responsibility).
Run another Ngram for Smooth at 50. What happens?
Part II : Create an Ngram for terms of your choosing and Run an Ngram with Single term, 2 terms and with 3 terms and discuss your insights. Here are some examples are terms related in context but you are choose your own terms. Couple of suggestions : SARS, COVID, MERS or Play, Theater, Drama or Ceramics, Collectibles, China, Art or phrases like “What’s the temperature?” & “Set the temperature”. (food for thought: How does Alexa know if you are asking it to tell you what temperature it is OR if you are asking it to set a specific temperature?”
Can you think about the situation that might use text mining and the associated statistical testing to solve problems?
https://openstax.org/books/introductory-statistics/pages/1-1-definitions-of-statistics-probability-and-key-terms
