Lab 7 Use Naïve Bayes to Classify #Twitter data in #RapidMiner
Channel: LBSocial
Date: 09/10/2020

Objectives:
• To learn how to classify data with Naïve Bayes.
• To learn how to collect and tokenize tweets. 

Data: 
• Optional: Collect tweets in RapidMiner 

Steps:

1. Optional: Collect 1,000 tweets in RapidMiner, choose your keywords, and save the tweets into two excel files, one for the label and one for un-label.
2. Open the labeled excel file and manually give each tweet a label, e.g., supporting Trump or Biden or Neutral.
3. Import both excel files into RapidMiner, append two files together, and tokenize the tweets.
4. Import the tokenized tweets into RapidMiner, train a Naïve Bay model with the labeled data, and apply the model on the unlabeled data. 

More about RapidMiner: https://www.youtube.com/playlist?list=PLHutrxqbP1Bx-zZxtex-EgwMFsjjjwYGO