How does Malay Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques are used to analyze and process Malay text data, allowing the system to understand context and sentiment.
- Machine Learning. Machine learning algorithms are trained on predefined datasets to predict sentiment classifications such as positive, negative, or neutral.
- Lexicon-based Approach. This method relies on predefined sentiment lexicons that contain words annotated with their sentiment value to determine the overall sentiment of a text.
- Deep Learning. Deep learning models use neural networks to capture complex patterns in data, leading to more accurate sentiment predictions in diverse contexts.
