How does Latvian NLP work?
- Tokenization. Tokenization involves breaking down a text into smaller units, such as words or phrases, which is essential for further analysis.
- Named Entity Recognition (NER). NER identifies and categorizes key information in text, such as names of people, organizations, or locations, making it easier to extract meaningful data.
- Sentiment Analysis. Sentiment analysis determines the emotional tone behind words, helping to understand attitudes, opinions, and emotions expressed in Latvian text.
- Machine Translation. Machine translation automatically converts text from one language to another, allowing for seamless communication and information sharing across languages.