| # 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. | |