Rosa-Fox

source 'https://rubygems.org' gem 'rack'

Rosa-Fox

screen_name = String.new ARGV[0]

user = client.user(screen_name)

tweet = client.user_timeline(screen_name).first

count = client.user(count)

puts tweet.text 

Rosa-Fox

#Gets the last 10 tweets from a given user from the twitter API
screen_name = String.new ARGV[0]

#for each tweet 
tweet = client.user_timeline(screen_name, count: 10).each do |tweet|

    #Look through each row in the CSV file to see if any words in the tweet match the words in the 2nd element of the csv array(the word)
    csv = CSV.foreach("csvratings.csv", {:headers=>true}).each do |row|

  #For each line if the word matches words in the tweet then create a new array and put the valence mean value (3rd array element) in it.

Rosa-Fox

class Tweet

def tweets(string)
   @tweet = string
end

def tweetsplit
 @tweet.split('/w')
end

Rosa-Fox

tweet = "Thisis a tweet"

tweetsplit = tweet.split('\w')

puts tweetsplit

Rosa-Fox

tweet = "This is, a tweet"

tweetsplit = tweet.split('\w')

puts tweetsplit

Rosa-Fox

#! /usr/bin/env ruby
require 'csv'

tweet = "Chocolate makes me happy, it makes my life wonderful"

tweetsplit = tweet.downcase.split(/\W+/)

valences = []

for tweetsplit do |i|

Rosa-Fox

#! /usr/bin/env ruby
require 'csv'

tweet = "Chocolate makes me happy, it makes my life wonderful"

tweetsplit = tweet.downcase.split(/\W+/)

valences! = []

for tweetsplit do |i|

Rosa-Fox

#! /usr/bin/env ruby
require 'csv'
 
tweet = "Chocolate makes me happy, it makes my life wonderful"
 
tweetsplit = tweet.downcase.split(/\W+/)
 
valences = []
 
tweetsplit.each do |i|

Rosa-Fox

%nav.navbar.navbar-default
  .container-fluid
    .navbar-header
      %span.navbar-brand
        =link_to 'Users', admin_users_path
        |
        =link_to 'Invitations', admin_invitations_path
    .collapse.navbar-collapse
      .navbar-right
        = link_to 'Log out', admin_session_path, method: 'delete', class: 'btn btn-sm btn-default navbar-btn'