How does Romanian NLP work?
- Tokenization. This method breaks down text into individual tokens or words, making it easier to analyze and process.
- Lemmatization. Lemmatization reduces words to their base or root form, helping to standardize variations of words in text analysis.
- Named Entity Recognition. This technique identifies and categorizes key information in text, such as names, organizations, and locations.
- Sentiment Analysis. Sentiment analysis determines the emotional tone behind words to understand the sentiment expressed in text data.