How does Urdu AI work?
- Natural Language Processing (NLP). NLP allows Urdu AI to understand and process the nuances of the Urdu language, making it possible to interact with users in a human-like manner.
- Machine Learning. Machine learning algorithms are used to improve the accuracy of text analysis and generation in Urdu based on large datasets.
- Neural Networks. Neural networks help in modeling complex patterns in Urdu text, leading to enhanced performance in tasks such as translation and text completion.
- Sentiment Analysis. Sentiment analysis identifies and categorizes sentiments expressed in Urdu texts, enabling applications in social media monitoring and customer feedback assessment.
