A Python NLP (Natural Language Processing) Project with Tutorials for Beginners provides a hands-on introduction to processing and analyzing text data using Python. This project includes source code, step-by-step tutorials, and practical examples to help beginners learn key NLP concepts such as tokenization, stemming, lemmatization, stopword removal, and named entity recognition (NER).
It covers setting up a Python environment with popular NLP libraries like NLTK, spaCy, and Transformers, along with building models for sentiment analysis, text classification, and chatbot development.
With clear explanations, code walkthroughs, and real-world applications, this project serves as an excellent resource for students, aspiring data scientists, and developers looking to master NLP with Python.