How does Estonian NLP work?
- Tokenization. Tokenization breaks down a string of text into individual words or tokens, which is essential for further analysis in NLP tasks.
- Named Entity Recognition (NER). NER identifies and classifies key entities in text such as names, organizations, and locations to provide context and understanding of the content.
- Sentiment Analysis. This technique evaluates the sentiment expressed in a piece of text, determining whether it is positive, negative, or neutral, useful for gauging public opinion.
- Part-of-Speech Tagging. Part-of-speech tagging assigns parts of speech to each word in a text (such as nouns, verbs, adjectives), aiding in syntactic analysis and understanding of language structure.