How To Create a Twitter Sentiment Analysis using Python

I’ll walk you through the process of performing Twitter Sentiment Analysis using Python. We will use the Tweepy library to fetch tweets from Twitter and the TextBlob library to perform sentiment analysis. Make sure you have Python installed on your system before starting.

Step 1: Setup Twitter API

Access To access Twitter data, you need to create a Twitter Developer Account and obtain API credentials (consumer key, consumer secret, access token, and access secret). Go to https://developer.twitter.com/ and create a developer account if you don’t have one. Once you have the credentials, keep them handy as we’ll use them later.

Step 2: Install Required Libraries

Open a terminal or command prompt and install the necessary libraries using pip:

pip install tweepy textblob

Step 3: Import Libraries

Create a new Python script and import the required libraries:

import tweepy
from textblob import TextBlob

Step 4: Authenticate with Twitter API

Add the following code to authenticate your script with Twitter API using the credentials obtained in Step 1: