How does Myanmar NLP work?
- Tokenization. Tokenization is the process of breaking down text into smaller units, like words or phrases, which is essential for understanding the structure of the language.
- Part-of-Speech Tagging. This method assigns parts of speech to each word in the text, helping to understand the role of each word within a sentence.
- Named Entity Recognition. Named Entity Recognition identifies and classifies key entities in the text such as names, organizations, and locations, enhancing information extraction.
- Sentiment Analysis. Sentiment Analysis assesses the emotional tone of text, allowing businesses to gauge opinions and feedback expressed in the Myanmar language.