Web Analytics
#Practical 1: Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More: Why Is Twitter All the Rage?, Exploring Twitter’s API, Fundamental Twitter Terminology, Creating a Twitter API Connection, Exploring Trending Topics, Searching for Tweets, Analysing Tweets and Tweet Entities with Frequency Analysis.
import tweepy
# Authenticate to Twitter
auth = tweepy.OAuthHandler(
"M42RKxXEWKwj3nlldJvCbJS5Y",
"ULhQ6WzoaBTpGVG7liGxbwsoQqiFRgh6Lh7SWmh2VqAqDGmhiR"
)
auth.set_access_token(
"1757656639291924480-tEVVypc7XoCSRO3mPSc1CbGzxP2aE9",
"HIEe1Jxoc9ZUX1evsUhmr9c0s38UbhA8Q87AWrFKc9k3m"
)
api = tweepy.API(auth)
try:
api.verify_credentials()
print("Authentication OK")
except:
print("Error during authentication")
# Retrieve trending topics for a specific location (WOEID 1 in this example)
trends = api.get_place_trends(1)
# Print the trending topics
for trend in trends[0]['trends']:
print(trend['name'])