How does Odia NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual words or phrases, which is essential for further analysis in NLP tasks.
- Part-of-Speech Tagging. This method involves identifying the grammatical categories of words in a sentence, such as nouns, verbs, and adjectives, which helps in understanding sentence structure.
- Named Entity Recognition. Named Entity Recognition (NER) identifies and categorizes key information in text, such as names of people, organizations, and locations, making it easier to extract relevant data.
- Sentiment Analysis. Sentiment analysis assesses the emotion or polarity behind a piece of text, helping in understanding public opinion and user sentiment towards various topics.