Skip to content

README.md

Latest commit

 

History

History
84 lines (63 loc) · 2.4 KB

README.md

File metadata and controls

84 lines (63 loc) · 2.4 KB

Twitter-Sentiment-Analysis-in-Python

Sentiment Analysis on TWEETS

This repository contains a tutorial for carrying out sentiment analysis on Twitter livestream data.

We can do the following:

Access Twitter live stream and captured tweets using the oauth2 library and Twitter REST API. Parse raw tweets obtained in JavaScript Object Notation. Compute term frequency histogram of the livestream data for calculating tweet sentiments. Query the raw tweet data for various parameters of interest like hashtags, origin of the tweet. Find top ten hashtags across the tweet data.

#Streaming twitter API

from future import print_function import sys import tweepy from ConfigParser import ConfigParser import json

#Assigning max_tweets to 100 if argument not given max_tweets = 100

if(len(sys.argv)==3): max_tweets = int(sys.argv[2])

class TwitterListener(tweepy.StreamListener): """ Twitter stream listener. """

def on_status(self, tweet):
    
    #capture only max_tweets number of tweets and save them to a text file
    
    self.num_tweets += 1
    if(self.num_tweets <= max_tweets):
        s = (tweet.text + '\n').encode('UTF-8')
        f = open('clinton.txt', 'a')
        f.write(s)
        #print (s)
        f.close()
        return True
    else:
        return False

def on_error(self, msg):
    print('Error: %s', msg)

def on_timeout(self):
    print('timeout : wait for next poll')
    sleep(60)
    
def __init__(self, api=None):
    self.api = api
    self.num_tweets = 0

def get_config(): """ Get the configuration """ conf = ConfigParser() conf.read('sample.cfg.txt') return conf

def get_stream(): config = get_config() auth = tweepy.OAuthHandler(config.get('twitter', 'consumer_key'), config.get('twitter', 'consumer_secret'))

auth.set_access_token(config.get('twitter', 'access_token'),
                      config.get('twitter', 'access_token_secret'))

listener = TwitterListener()
stream = tweepy.Stream(auth=auth, listener=listener)
return stream

if name == "main": if len(sys.argv) == 1: print("Usage: %s " % (sys.argv[0])) else: word = sys.argv[1] stream = get_stream() print("Listening to '%s' and '%s' ..." %('#' + word, word)) stream.filter(track=['#' + word, word])