How does Indonesian Sentiment Analysis work?
- Lexicon-based method. This method uses predefined lists of words with associated sentiment scores to determine the overall sentiment of a text based on the presence of these words.
- Machine Learning. Machine learning techniques, such as supervised classification, use labeled datasets to train models that can predict sentiments in unseen text.
- Deep Learning. Deep learning models, especially neural networks, analyze data in a complex manner to capture deeper contextual meanings for improved sentiment detection.
- Aspect-based Sentiment Analysis. This approach involves identifying specific aspects of a product or service in the text and determining the sentiment expressed towards each aspect separately.
