How does Bangla NLP work?
- Tokenization. Tokenization involves breaking down the Bangla text into individual words or tokens to facilitate further processing.
- Sentiment Analysis. Sentiment analysis identifies and categorizes the sentiments expressed in Bangla text, determining if the content is positive, negative, or neutral.
- Named Entity Recognition (NER). NER detects and classifies key entities in the Bangla text, such as names of people, organizations, or locations, aiding in content understanding.
- Machine Translation. Machine translation converts Bangla text into another language or vice versa, allowing for broader accessibility and understanding of content.