How does Maltese Sentiment Analysis work?
- Natural Language Processing (NLP). NLP involves the use of algorithms to understand and interpret human language, enabling the extraction of sentiment from Maltese text.
- Machine Learning. Machine learning techniques can be applied to train models that classify sentiments based on labeled datasets of Maltese text.
- Lexicon-Based Analysis. This method uses predefined dictionaries of words associated with sentiments to assess the emotional tone in Maltese sentences.
- Deep Learning. Deep learning approaches such as neural networks are utilized to achieve high accuracy in sentiment classification by learning complex patterns in data.
