Yes, Python is the most popular language for implementing NLP due to its extensive library support and simplicity. Libraries like NLTK, spaCy, and Hugging Face Transformers provide powerful tools for preprocessing, feature extraction, and model training. Python’s machine learning libraries, such as Scikit-learn, TensorFlow, and PyTorch, enable developers to build custom NLP models for tasks like text classification, sentiment analysis, and machine translation.
Python’s versatility makes it suitable for both beginners and experts. Pre-built libraries simplify common NLP tasks, while frameworks like TensorFlow and PyTorch allow for advanced, custom model development. Its strong community and comprehensive documentation make it the go-to language for NLP projects, from small-scale applications to large-scale, production-ready systems.