How does Persian NLP work?
- Tokenization. This method involves breaking down Persian text into individual units or tokens, such as words and phrases, for easier analysis.
- Part-of-Speech Tagging. This technique assigns parts of speech to each token, helping in understanding the grammatical structure of sentences in Persian.
- Named Entity Recognition. This method identifies and classifies named entities (like people, organizations, locations) in the Persian text, making it easier to extract relevant information.
- Sentiment Analysis. This process determines the sentiment expressed in Persian text, identifying whether the tone is positive, negative, or neutral.
