How does Mongolian NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual words or tokens, making it easier for algorithms to analyze.
- Part-of-Speech Tagging. Part-of-Speech Tagging involves identifying the grammatical parts of speech in the text, such as nouns, verbs, and adjectives, to understand sentence structure.
- Named Entity Recognition. Named Entity Recognition identifies and categorizes key entities in the text, such as names of people, organizations, and locations.
- Sentiment Analysis. Sentiment Analysis assesses the emotional tone behind a body of text, determining whether the sentiment is positive, negative, or neutral.