How does Norwegian Sentiment Analysis work?
- Lexicon-based approach. This technique relies on predefined lists of words associated with specific sentiments, analyzing text by calculating sentiment scores based on these words.
- Machine learning. Machine learning models are trained on labeled datasets to predict the sentiment of new, unlabeled text based on learned patterns.
- Deep learning. Deep learning approaches, like neural networks, are employed to capture complex patterns in text and enhance sentiment prediction accuracy.
- Rule-based approach. This method applies a set of linguistic rules to extract sentiment from Norwegian texts, considering context and negations.
