How does Marathi NLP work?
- Tokenization. Tokenization involves breaking down text into individual words or phrases, which helps in understanding the structure and meaning of the sentences.
- Part-of-Speech Tagging. This method assigns grammatical tags to each word in a sentence, helping in syntactic analysis and understanding the role of each word.
- Named Entity Recognition. NER identifies and classifies key entities in the text, such as names of people, organizations, and locations, which is crucial for information extraction.
- Sentiment Analysis. Sentiment analysis evaluates the emotional tone behind a series of words, used to understand attitudes and opinions expressed in Marathi text.
