NLP Exploration Notebook
A hands-on natural-language processing study covering tokenization, sentiment, entities, and text visualization.
Technology stack
Python / NLTK / spaCy / Transformers / PyTorch
The notebook works through tokenization, stopword removal, lemmatization, named-entity recognition, and word-frequency analysis as separate inspectable stages.
It also runs transformer-based sentiment analysis with optional GPU acceleration and creates chart and word-cloud views of the processed text.