How does Vietnamese NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual words or phrases, making it easier to analyze and understand.
- Part-of-Speech Tagging. Part-of-speech tagging assigns parts of speech to each word in a sentence, which helps in understanding the grammatical structure and meaning.
- Sentiment Analysis. Sentiment analysis involves determining the emotional tone behind a series of words, useful for understanding opinions or sentiments expressed in Vietnamese text.
- Named Entity Recognition. Named entity recognition identifies and classifies key entities in the text, such as names, dates, and locations, to provide context and insights.