How does Javanese Sentiment Analysis work?
- Tokenization. This method breaks down the text into individual words or phrases, which allows for easier analysis of sentiments.
- Sentiment Lexicon-Based Approach. This technique utilizes a predefined list of words associated with positive or negative sentiment to determine the emotional tone of the text.
- Machine Learning Classification. This approach involves training a machine learning model on labeled data to classify the sentiments expressed in new Javanese texts.
- Aspect-Based Sentiment Analysis. This method focuses on extracting sentiments related to specific aspects of a subject, providing a more nuanced view of public opinion.