How does Hindi NLP work?
- Tokenization. Tokenization involves breaking down text into individual words or tokens, which is essential for further analysis in NLP.
- Sentiment Analysis. Sentiment analysis determines the emotional tone behind a series of words, used in applications like opinion mining.
- Named Entity Recognition (NER). NER identifies and classifies key elements in text, like names of people, organizations, and locations.
- Machine Translation. Machine translation enables the conversion of text from one language to another, facilitating communication across language barriers.