How does Macedonian Named Entity Recognition work?
- Tokenization. This method involves breaking down text into individual tokens, which helps in identifying distinct entities by separating them from the surrounding text.
- Part-of-Speech Tagging. This technique assigns parts of speech to each token, which aids in determining the role of each word in a sentence and helps to identify entities based on their grammatical use.
- Named Entity Classification. This process labels tokens identified as entities into predefined categories such as PERSON, ORGANIZATION, and LOCATION to facilitate understanding and processing.
- Contextual Analysis. By analyzing the context in which words appear, this method enhances accuracy in entity recognition by taking into account surrounding words and their meanings.
