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Python NLP Project Source Code with Tutorials


Python NLP Project Source Code with Tutorials for Beginners

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.