MKTG3363 – Social Media Marketing Fall 2019
Texas A&M University – San Antonio MKTG3363 – Social Media Marketing
Instructor: Dr. Temo Luna-Nevarez October 30, 2019
ASSIGNMENT # 6: Sentiment Analysis of Consumer Reviews
INSTRUCTIONS: Do the following:
1. Open the file Reviews 1.doc attached and read the customer reviews for the Sonos One.
a. Using the Document-level Sentiment Analysis method, determine the sentiment (i.e.
positive, negative, or neutral) for each review.
b. Then, use the Python NLTK Text Classification online tool (http://textprocessing.com/demo/sentiment/) to calculate the sentiment for each review (just
copy the text and paste it into the white box). Report your results.
c. After comparing both results (your results vs. the online tool results), which results
do you think are more accurate or reliable? Why?
2. Open the file Reviews 2.doc attached and read the user reviews for Joker.
a. Using the Sentence-level Sentiment Analysis method, determine the sentiment (i.e.
positive, negative, or neutral) for each review.
b. Then, use the Sentigem tool (http://sentigem.com) to calculate the sentiment for
each review. Report your results.
c. After comparing both results, which results do you think are more accurate? Why?
3. Open the file Reviews 3.doc attached and read the customer reviews for Palenque Grill (in
San Antonio, TX) restaurant.
a. Using the Entity/Aspect-level Sentiment Analysis method, determine the sentiment
(i.e. positive, negative, or neutral) for each customer review.
b. Then, use the Python NLTK Text Classification online tool (http://textprocessing.com/demo/sentiment/) to calculate the sentiment for each review.
Report your results.
c. After comparing both results, which results do you think are more accurate? Why?
4. Take all the reviews from (1), (2), and (3) and create 3 separate word clouds, one for the
Sonos One, one for Joker, and one for Palenque Grill. Use WordClouds
(www.wordclouds.com) or Wordle (www.wordle.net/create) to generate your word clouds.
Then, paste them into your document.
Submit your answers in a Word document (.DOC, .DOCX; 1.5 or double-spaced; font type = 12)
before next class, November 6 (4:00 p.m., CDT).
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