How does Croatian Sentiment Analysis work?
- Lexicon-based approach. Utilizes predefined lists of words associated with positive or negative sentiments to analyze the emotional context of text.
- Machine Learning. Involves training models on labeled data to classify text sentiment based on features and patterns learned from the data.
- Deep Learning. Employs neural networks to capture more complex patterns and nuances in text data, improving sentiment analysis accuracy.
- Rule-based Systems. Uses a set of hand-crafted rules to determine sentiment based on linguistic structure and specific keywords in the text.