How does Italian Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques are employed to analyze text data in Italian, enabling the system to understand linguistic nuances and sentiments.
- Machine Learning. Machine learning algorithms are trained on Italian datasets to classify and predict sentiments based on input text.
- Sentiment Lexicons. Predefined lists of words with associated sentiments are used to enhance the accuracy of sentiment detection in Italian content.
- Deep Learning. Advanced neural networks are used to capture contextual meanings in Italian text, improving sentiment analysis through hierarchical data representation.