How does Basque NLP work?
- Tokenization. This method breaks down text into words, phrases, symbols, or other meaningful elements called tokens, making it easier to analyze the structure of the language.
- Part-of-speech tagging. This technique assigns parts of speech to each word in a sentence, such as nouns, verbs, and adjectives, which helps in understanding grammatical structures.
- Named entity recognition. Named entity recognition identifies and categorizes key information in text, such as names of people, organizations, locations, and dates, enabling effective information extraction.
- Sentiment analysis. This method involves analyzing text to determine the sentiment or emotional tone behind it, which can be particularly useful for understanding opinions or feelings expressed in Basque.
