NLP and language-focused projects covering text preprocessing, unsupervised topic modelling, interpretation of large review datasets, and notebook-based language analysis carried through to formal report writing and final submission material.
One assessed NLP project used Amazon Fine Food Reviews to run an unsupervised topic-modelling workflow with dataset inspection, light text cleaning, vectorisation, and topic interpretation. The assignment folders also show report drafts, final reports, comparison tables, topic-distribution figures, and exported notebook HTML files.
The broader work reflects interest in language models and NLP pipelines that turn raw review text into more interpretable structure through preprocessing and modelling rather than manual reading alone. The materials include both Amazon Fine Food Reviews and other review datasets explored during the assignment process.
This work was not just a notebook. The project folders contain multiple notebook versions, exported HTML, draft markdown reports, final report documents, PDF output, and generated topic visualisations. So the page now represents the full assignment pipeline from exploratory analysis through to submitted written interpretation.