How does Welsh NLP work?
- Tokenization. This method involves breaking down a text into individual tokens, such as words or phrases, which is crucial for processing and understanding the language structure.
- Named Entity Recognition (NER). NER identifies and classifies key entities in the text, such as names of people, organizations, and locations, which aids in information extraction.
- Sentiment Analysis. This technique analyzes the feelings expressed in the text, determining whether the sentiment is positive, negative, or neutral, often used in social media monitoring.
- Machine Translation. Machine translation automatically translates text from one language to another, enabling seamless communication in different languages, including Welsh.