How does Malayalam NLP work?
- Tokenization. Tokenization involves breaking down the Malayalam text into smaller units called tokens, which can be words or phrases, facilitating further analysis.
- Part-of-Speech Tagging. This technique assigns parts of speech to each token in a given text, helping in understanding the grammatical structure and meaning.
- Named Entity Recognition. Named Entity Recognition identifies and classifies key entities in text, such as names of people, organizations, and locations, enhancing information retrieval.
- Sentiment Analysis. Sentiment Analysis assesses the emotional tone behind a series of words, thereby determining the sentiment expressed in Malayalam text.
