How does Tamil NLP work?
- Tokenization. Tokenization involves breaking down text into individual units, such as words or phrases, to facilitate further analysis.
- Language Modeling. Language modeling predicts the probability of a sequence of words, helping in text generation and understanding sentence structures.
- Named Entity Recognition (NER). NER identifies and classifies key information in the text into predefined categories such as names, places, and dates.
- Sentiment Analysis. Sentiment analysis assesses the emotional tone of a body of text, determining whether the sentiment is positive, negative, or neutral.