If you are a fan of the famous TV show ‘Friends’, you must have found yourself arguing regularly — Who is the most important character? Who is the most complex? Which characters were close? Who was the most positive or negative character?

I am sure we all have opinions but the only justified answers can come from data. As a result, I decided to apply text analytics and web scraping principles I have learned through my Master’s at UCLA Anderson School of Management, to analyze my favorite TV series with 58,251 dialogues and 228 episodes spread across 10 seasons.


Apoorva Mishra

Business Analytics @ UCLA | MBA — ISB | B.Tech. — IIT R | Ex- Kellogg’s, Samsung | Brand Management| Marketing | Business Strategy | Product Enthusiast

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