Text-Analysis-using-R

• Gathered data using speech to text recognition software by surveying 40 people to understand the characteristics of individuals who were on diet
  
• Transferred unstructured text data into a tidy dataframe in RStudio, analyzed data by using TF-IDF Framework, and Bi-gram Network
  
• Performed sentiment analysis on the transformed text data, used Naive Bayes Classifier to predict the probability of whether a person was on diet
  
• Created a Shiny dashboard of the above-mentioned frameworks