How does Pashto NLP work?
- Tokenization. Tokenization is the process of breaking down text into individual words or phrases, making it easier to analyze the components of Pashto sentences.
- Part-of-Speech Tagging. Part-of-speech tagging assigns categories to words (such as nouns, verbs, adjectives) in Pashto sentences, which helps in understanding the grammatical structure.
- Named Entity Recognition. Named entity recognition identifies and categorizes key information in Pashto text, such as names of people, organizations, and locations.
- Sentiment Analysis. Sentiment analysis assesses the emotional tone behind a series of Pashto words, helping to determine positive, negative, or neutral sentiments in text.