How does Serbian NLP work?
- Tokenization. This technique involves breaking down text into individual words or phrases, called tokens, which are the building blocks for further analysis.
- Part-of-Speech Tagging. This method assigns grammatical categories such as nouns, verbs, and adjectives to each token, helping to understand the structure of sentences.
- Named Entity Recognition. This process identifies and classifies key entities in the text, such as names of people, organizations, and locations, allowing for more precise information extraction.
- Sentiment Analysis. This technique analyzes the text to determine the sentiment expressed within it, such as positive, negative, or neutral, which is valuable for gauging public opinion.
