Python is the most popular programming language for natural language processing. However, many other languages can be
used for NLP development, such as R, C++, and Julia. The choice of language will depend on the specific requirements of
the project.
When it comes to frameworks and libraries focused on NLP and building deep learning language models, TensorFlow,
PyTorch, Keras, and SpaCy are the most popular. We can enrich the performance of human language processing systems by
leveraging existing natural language tool kits to identify concepts, keywords, categories, semantics, and emotions and
to perform text classification, entity extraction, relationship extraction, named entity recognition (NER), sentiment
analysis, and summarization.