How does Hawaiian Named Entity Recognition work?
- Tokenization. The process of segmenting text into individual tokens or words, which is an essential step for further analysis in HNER.
- Entity Classification. This method categorizes identified entities into predefined classes such as persons, organizations, locations, and more.
- Contextual Analysis. It involves analyzing the surrounding text to accurately determine the meaning and relevance of each named entity in its specific context.
- Machine Learning Models. Utilizes algorithms and models trained on Hawaiian text data to improve the accuracy and efficiency of entity recognition.