Think Different

Collecting and preparing unstructured data for data modelling involves several steps. Here's a step-by-step guide with a basic example for illustration: Step 1: Define Data Sources Identify the sources from which you want to collect unstructured data. These sources can include text documents, images, audio files, social media feeds, and more. For this example, let's consider collecting text data from social media posts. Step 2: Data Collection To collect unstructured text data from social media, you can use APIs provided by platforms like Twitter, Facebook, or Instagram. For this example, we'll use the Tweepy library to collect tweets from Twitter. ```python import tweepy # Authenticate with Twitter API consumer_key = 'your_consumer_key' consumer_secret = 'your_consumer_secret' access_token = 'your_access_token' access_token_secret = 'your_access_token_secret' auth = tweepy.OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(acc...