Project summary:
Please post your response by using your OWN words (a minimum of 200 words - meaningful summation) below and then return later, or tomorrow, to read and respond to your classmates (a minimum of 75 words - meaningful summation).
Part I : Create an Ngram and do the following:
Run an Ngram with a single term and discuss the query ([*****], Management).
Run a new Ngram with 2 terms and discuss the relationship ([*****], Management, Leadership).
Run another NGram with a third term added and discuss what happens ([*****], 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?
Post at least one original, initial entry. Post at least one response to a classmate's entry.
