How does Corsican Sentiment Analysis work?
- Natural Language Processing (NLP). NLP techniques are used to preprocess and analyze the Corsican text, enabling machines to understand its structure and meaning.
- Machine Learning. Machine learning algorithms are trained on labeled datasets to classify the sentiment of Corsican texts based on patterns and features.
- Lexicon-Based Approach. This method utilizes predefined lists of words associated with positive or negative sentiment to evaluate the overall sentiment of the text.
- Deep Learning. Advanced deep learning models, such as neural networks, are employed to capture complex sentiments in Corsican texts by analyzing larger contexts.
