How does Italian NLP work?
- Tokenization. This process involves breaking down text into smaller units, such as words or phrases, to analyze sentence structure and meaning.
- Named Entity Recognition (NER). NER identifies and classifies key entities in text, such as names of people, organizations, and locations, enabling better understanding of information.
- Sentiment Analysis. This technique assesses the sentiment conveyed in a text, determining whether it expresses positive, negative, or neutral opinions.
- Machine Translation. Machine translation allows for the automatic conversion of text from Italian to other languages and vice versa, facilitating communication across language barriers.