How does Urdu NLP work?
- Tokenization. This method involves breaking down text into individual tokens, such as words or phrases, which can be analyzed or processed further.
- Sentiment Analysis. Sentiment analysis assesses the emotional tone of a piece of text to determine whether the sentiment expressed is positive, negative, or neutral.
- Named Entity Recognition. This technique identifies and classifies key entities in text, such as names, organizations, and locations, into predefined categories.
- Machine Translation. Machine translation converts text from one language to another, facilitating communication and understanding across different languages, including Urdu.
