This project was made to pass the qualifying process of the Data Analysis Competition held by Informatics Festival 2023 Padjajaran University. The goal of the project is to predict the sentiment of the empty labels of Indonesian tweet data, whether it is a love, anger, fear, joy, and sadness.
The tweet data consists of 2 features which are tweet and label. Tweet: Indonesian tweet Label: Sentiment of the tweet (love, anger, fear, joy, and sadness)
- Numpy
- Pandas
- Matplotlib
- Scikit-Learn
- Stochastic Gradient Descent
- Logistic Regression
- Support Vector Machines
Best model accuracy: Logistic Regression (66%)