How does Slovenian NLP work?
- Tokenization. This process involves breaking down the text into individual words or tokens, which is crucial for further text analysis and understanding.
- Part-of-speech tagging. This technique assigns parts of speech to each word in a sentence, helping in understanding the grammatical structure of the text.
- Named entity recognition. This method identifies and categorizes key entities in the text, such as names of people, organizations, and locations, enhancing information extraction.
- Sentiment analysis. This approach determines the sentiment expressed in a piece of text, classifying it as positive, negative, or neutral to gauge public opinion or mood.
