How does Georgian NLP work?
- Tokenization. Tokenization involves splitting text into individual words or phrases, enabling further analysis and processing of the Georgian language structure.
- Named Entity Recognition (NER). NER identifies and classifies key entities in text, such as names of people, places, or organizations, which is crucial for information extraction in Georgian texts.
- Sentiment Analysis. Sentiment analysis assesses the emotional tone behind a body of text, allowing the understanding of opinions and sentiments expressed in Georgian content.
- Machine Translation. Machine translation automates the translation of Georgian text to other languages and vice versa, facilitating communication and comprehension across language barriers.
