Comparison across two twitter handles using the IBM watson Personality Insights API. It requires API keys to be generated with your IBM Bluemix account.

insights.py

import sys
import operator
import requests
import json
import twitter
from watson_developer_cloud import PersonalityInsightsV2 as PersonalityInsights

def analyze(handle):

	twitter_consumer_key='QGi7GvLXA9N5pn9xfGOoSVdSx'
	twitter_consumer_secret='GjpHa6HAW2vj7uElb7CvRH5PTjsZOKF7dnaCRstEtOuAZmNvWa'
	twitter_access_token='772688937328357376-oChaOafdFmloDgp4bVMb2AfHP60eZmM'
	twitter_access_secret='Clrfk8TuzoEDR8Djt9OA29Ky8U8qb4KqN4XCXRrG9P2Ao'

	twitter_api=twitter.Api(consumer_key=twitter_consumer_key, consumer_secret=twitter_consumer_secret,access_token_key=twitter_access_token, access_token_secret=twitter_access_secret)


	statuses = twitter_api.GetUserTimeline(screen_name=handle, count=200, include_rts=False)

	text=""

	for status in statuses:
  
            if status.lang=='en':
                text+=status.text.encode('utf-8')
    
	pi_username='0e533f92-50d3-438e-8c7f-9c78452ecaf0'
	pi_password='Uqm2KqeiVybN'
    
	personality_insights=PersonalityInsights(username=pi_username,password=pi_password)    
    
    

	pi_result=personality_insights.profile(text)
	return pi_result
def flatten(orig):
    data = {}
    for c in orig['tree']['children']:
        if 'children' in c:
            for c2 in c['children']:
                if 'children' in c2:
                    for c3 in c2['children']:
                        if 'children' in c3:
                            for c4 in c3['children']:
                                if (c4['category'] == 'personality'):
                                    data[c4['id']] = c4['percentage']
                                    if 'children' not in c3:
                                        if (c3['category'] == 'personality'):
                                                data[c3['id']] = c3['percentage']
    return data
  
def compare(dict1, dict2):
    compared_data = {}
    for keys in dict1:
        if dict1[keys] != dict2[keys]:
                compared_data[keys]=abs(dict1[keys] - dict2[keys])
    return compared_data
  
user_handle = "@Codecademy"
celebrity_handle = "@IBM"


user_result=analyze(user_handle)
celebrity_result=analyze(celebrity_handle)
user=flatten(user_result)
celebrity=flatten(celebrity_result)

compared_results=compare(user,celebrity)

sorted_result = sorted(compared_results.items(), key=operator.itemgetter(1))

for keys, value in sorted_result[:5]:
    print(keys,end='')
    print(user[keys]),
    print('->'),
    print(celebrity[keys]),
    print('->'),
    print(compared_results[keys])