How does Arabic NLP work?
- Tokenization. Tokenization is the process of breaking down Arabic text into smaller units, such as words or phrases, to facilitate analysis.
- Stemming. Stemming reduces words to their root form, which is particularly useful in Arabic due to its root-based morphology.
- Named Entity Recognition (NER). NER identifies and classifies proper names in Arabic text, such as names of people, organizations, and locations.
- Sentiment Analysis. Sentiment analysis determines the sentiment expressed in Arabic text, classifying it as positive, negative, or neutral.