How does Hebrew NLP work?
- Tokenization. This method involves breaking down text into smaller, manageable parts, like words or phrases, to facilitate analysis.
- Lemmatization. Lemmatization reduces words to their base or dictionary form, enabling the identification of different forms of a word as a single item.
- Named Entity Recognition (NER). NER identifies and categorizes key information in the text, such as names of people, locations, and organizations.
- Sentiment Analysis. This technique evaluates the sentiment expressed in a text, determining if it is positive, negative, or neutral.
