How does Esperanto NLP work?
- Tokenization. This method involves breaking down text into individual tokens (words or phrases), facilitating easier analysis and processing of language structure.
- Sentiment Analysis. This technique assesses the emotional tone behind a series of words, allowing applications to understand user sentiment in communication in Esperanto.
- Named Entity Recognition. This method identifies and categorizes key entities within text, such as names, locations, and dates, helping to organize and extract meaningful information from Esperanto text.
- Language Generation. This approach involves creating coherent and contextually relevant text in Esperanto, enabling automated responses and creative content generation.
