How does Hmong NLP work?
- Tokenization. This technique breaks down text into individual terms or tokens, facilitating easier analysis and understanding of the language structure.
- Part-of-Speech Tagging. This process involves identifying and labeling the parts of speech in sentences, which helps in understanding the grammatical structure of Hmong language text.
- Named Entity Recognition. This method identifies and classifies key terms in text, such as names or locations, enhancing the context and meaning derived from Hmong language data.
- Sentiment Analysis. This technique assesses the connotations of text to determine sentiment or opinion, which is essential for understanding social media interactions in Hmong.
