readme: # IS2Project
  
  This is a Customer Sentiment Analysis for Code-Switched Language: A Case of Safaricom Limited. The proposed model will be able to detect customer sentiment analysis in the code-switched pair (English-Swahili) for Safaricom users using Support Vector Machines. The model will be able to categorize tweets into good reviews and bad reviews.
  
  The model is also compared with Logistic Regression and Naives Bayes to see which model performs the best.
  