How does Bulgarian NLP work?
- Tokenization. Tokenization involves breaking down text into smaller units, or tokens, which can be words, phrases, or sentences, making it easier to analyze and process the content.
- Named Entity Recognition (NER). NER identifies and classifies key entities in the text such as names, organizations, and locations to derive meaningful information from the documents.
- Sentiment Analysis. Sentiment Analysis detects the emotional tone behind the text to determine whether the sentiment is positive, negative, or neutral, useful in understanding user opinions.
- Machine Translation. Machine Translation translates text from Bulgarian to other languages or vice versa, enabling effective communication across language barriers.
