It is the example of using Python to request the result from Sentiment 140. This example is based on http://help.sentiment140.com/api

sent_example.py

import urllib2
import json
 
s = '{"data": [{"text": "I love Titanic."},{"text": "I hate Titanic."}]}' # 2 short text that we want to do sentiment analysis
 
response = urllib2.urlopen('http://www.sentiment140.com/api/bulkClassifyJson', s) # request to server
 
page = response.read() # get the response
 
print page # print the result
 
json.loads(page) # parse the result. The result is in JSON format

For Python 3,

from urllib.request import urlopen
import json

s = '{"data": [{"text": "I love Titanic."},{"text": "I hate Titanic."}]}' # 2 short text that we want to do sentiment analysis

response = urlopen('http://www.sentiment140.com/api/bulkClassifyJson', data=bytes(json.dumps(s), encoding="utf-8")) # request to server
 
page = response.read() # get the response
 
print(page) # print the result
 
json.loads(page) # parse the result. The result is in JSON format