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Comparing Brand Rivalries

Comparing Brand Rivalries. Download from course website: data (then extract it) 3-4Starter.py. Which one of them is the most heated competition? . Idea. Look at tweets that talk about them See which pair is mentioned together most frequently

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Comparing Brand Rivalries

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  1. Comparing Brand Rivalries Download from course website: data (then extract it) 3-4Starter.py

  2. Which one of them is the most heated competition?

  3. Idea • Look at tweets that talk about them • See which pair is mentioned together most frequently • Belligerence score = # of times mentioned together / # of times either is mentioned • Attention score = # of times mentioned together / # of hours during which they are mentioned

  4. Look at 3-4Starter.py • Mark (using comments) places where you do not understand / haven't seen before • We'll discuss them in a minute

  5. while loop • We've seen for-loop • Here's another way of looping: while (some condition that evaluates to Boolean) : do something • The 'do something' part will be executed again and again until the condition becomes false.

  6. Using while-loop to iterate structured data myList = [1,4,6,3,8,4,0] index = 0 while (index != len(myList)): print(myList[index]) index += 1 • How do you rewrite it using a for-loop? (two ways)

  7. Now you have a way of breaking your computer import random myList = [] while True: myList += [random.random()] • What does it do?

  8. Print meaningful things in your program • Helps debugging • Helps showing progress • Print indicating texts along with values you are interested in.

  9. Finding out Belligerence Score • Belligerence score = # of times mentioned together / # of times either is mentioned • Algorithm • Set a count (# of times mentioned together), 0 intially • For each tweet: • text  look up its text • cokeMentioned  True if 'coke' is in text, False otherwise • pepsiMentioned  True if 'pepsi' is in text, False otherwise • if both cokeMentioned and pepsiMentioned are True • increase count by 1 • Divide count by total number of tweets, print answer

  10. How to find out • if 'coke' appears in some text? • Regular expression! • re.findall(pattern, string) • What the pattern should be?

  11. Finding out Attention Score • Attention score = # of times mentioned together / # of hours during which they are mentioned • How to find out the denominator?

  12. Repeat this • for the personal computer war • for the smartphone war

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