How does Dutch Sentiment Analysis work?
- Lexicon-based Analysis. This method uses predefined lists of words with associated sentiment values to determine the overall sentiment of a text based on word occurrences.
- Machine Learning. Machine learning techniques are applied to classify texts by training algorithms on labeled sentiment data, allowing for automated recognition of sentiment.
- Deep Learning. This advanced technique utilizes neural networks to process and analyze text data, providing high accuracy in sentiment detection through feature learning.
- Rule-based Analysis. Rule-based methods apply specific linguistic rules and heuristics to evaluate sentiment, relying on the structure and syntax of the language to derive meaning.
