How does Telugu NLP work?
- Tokenization. This method involves breaking down Telugu text into smaller units, such as words or phrases, making it easier to analyze and process.
- Part-of-Speech Tagging. This technique assigns grammatical categories to each word in a sentence, helping to understand the structure and meaning of the text.
- Named Entity Recognition (NER). NER identifies and categorizes key entities in the text, such as names, locations, and dates, which is essential for information extraction.
- Sentiment Analysis. This method evaluates the sentiment or emotion expressed in Telugu text, allowing businesses to gauge customer opinions and feedback.