How does Catalan Sentiment Analysis work?
- Lexicon-based Approach. This method uses a predefined list of words and phrases associated with sentiment to analyze and classify text.
- Machine Learning. Machine learning techniques are employed to train models on annotated datasets, allowing them to predict sentiment in new, unseen data.
- Deep Learning. Deep learning algorithms like neural networks are used to capture more complex patterns and nuances in the text for improved sentiment analysis accuracy.
- Rule-based Systems. This method utilizes a set of syntactic and semantic rules to evaluate the emotional tone of the text, often combining it with other approaches for better results.
