build a strong argument for a business decision based upon your findings

INSTRUCTIONS TO CANDIDATES

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For this assignment, you must find an area of interest, collect and analyze text data in R using at least 2 frameworks covered in class. (Here are a few examples of what I mean by "framework": N-grams, sentiment analysis, tf-idf, correlograms, classification with Bayes, LDA, .etc ). Your area of interest can be anything that you are passionate about (e.g. I would choose to compare different Tweets from people who are kite-surfers, windsurfers, and surfers - to see what difference there are in those tweets - and sentiment). Submit 1 pdf file that has two parts: 1. A report detailing applied business insight (include any charts that support your business insight). Build a strong argument for a business decision based upon your findings. You should mention at least 2 frameworks, covered in class, that helped you gain the business insight. (750-1500 words) 2. In the appendix, please include your R code and R code output. Guidelines: PDF submission, the word count should be between 1000-1200 (this applies to the 1st part of your pdf file) Your report will be graded using the attached grading rubric. Please read the rubric before submitting your work. The rubric includes the following requirements(more details in grading rubric): 1. Collect text or other unstructured data that aligns with your area of interest - you must perform the data collection and imputation yourself 2. Submit a pdf file that has 2 parts (1. a business insight report that counts between 1000 and 1200 words, 2. R code with R output) 3. Mentioning at least 2 frameworks covered in class - you should include charts- and explain how they impact your business decision (in the 1st part of your report). 4. Build a strong argument for a business decision based upon your findings. 5. APA citation

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