/twitter-bio-analyzer-script

Ruby script to find the most common words in the bios of the accounts a user follows on Twitter

Primary LanguageRubyMIT LicenseMIT

Ruby script to find the most common words in the bios of the accounts a user follows on Twitter

This is a Ruby script that will find what words are used most often in the bios of accounts a user follows on Twitter. I wrote this script because it's a decent way to find what people are interested in.

For example, by running the script with my Twitter account , you can see that I'm interested in politics, news, startups, and coding because many of the words are related to it.

Here's the top words in bios for the users I follow:

director: 66
news: 61
web: 54
digital: 53
politics: 52
twitter: 50
design: 49
founder: 44
tweets: 43
former: 43
new: 42
political: 42
co-founder: 42
reporter: 41
designer: 40
husband: 38
media: 38
editor: 37
author: 36
west: 35
ceo: 35
father: 34
virginia: 34
developer: 32
things: 31
fan: 30
tech: 26
world: 25
alum: 25
us: 25
senior: 25
data: 24
official: 23
also: 23
dad: 23
product: 22
working: 22
proud: 21
durham: 21
people: 21
formerly: 20
development: 20
love: 19
writer: 19
social: 19
technology: 19
account: 19
life: 18
business: 18
opinions: 18
team: 18
work: 17
startups: 17