How does Greek NLP work?
- Tokenization. This method involves breaking down text into individual words or phrases, making it easier for the NLP system to analyze the components of the text.
- Part-of-Speech Tagging. Assigns labels to words in the Greek text based on their grammatical role, such as noun, verb, adjective, etc., facilitating syntactic analysis.
- Named Entity Recognition. Identifies and categorizes key entities in the text, such as names, organizations, locations, and more, to extract meaningful information.
- Sentiment Analysis. Analyzes the emotional tone behind a series of words in Greek text, helping to determine the sentiment expressed, whether positive, negative, or neutral.