How does Punjabi NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual units, such as words or phrases, which is essential for further analysis.
- Sentiment Analysis. Sentiment Analysis involves determining the emotional tone behind a series of words, helping to identify positive, negative, or neutral sentiments in Punjabi text.
- Named Entity Recognition. Named Entity Recognition identifies and classifies key elements in text, like names of people, organizations, and locations, specific to Punjabi language context.
- Machine Translation. Machine Translation automatically converts text from Punjabi to other languages and vice versa, making communication across language barriers possible.