How does Lithuanian NLP work?
- Tokenization. This process involves breaking down the text into individual words or tokens, making it easier to analyze.
- Sentiment Analysis. This technique identifies the emotional tone behind a series of words, helping to determine the overall sentiment of the text.
- Named Entity Recognition (NER). NER helps in identifying and classifying key entities in the text, such as names of people, organizations, and locations.
- Part-of-Speech Tagging. This involves labeling each word in the text with its corresponding part of speech, such as noun, verb, or adjective.