How does Kurdish NLP work?
- Tokenization. Tokenization is the process of breaking text into individual units, like words or phrases, which is essential for further processing in NLP tasks.
- Part-of-Speech Tagging. This technique involves determining the grammatical category of each word in a sentence, helping in understanding the structure and meaning of phrases.
- Named Entity Recognition. Named Entity Recognition (NER) identifies and classifies key elements in text, such as person names, organizations, and locations, enhancing information retrieval.
- Sentiment Analysis. Sentiment analysis assesses the emotional tone behind a series of words, helping to understand attitudes, opinions, or emotions expressed in Kurdish text.