Aspect-Based Sentiment Classification (ABSC) Walkthrough

I was the sole implementer for this coursework module: scoped requirements, wrote the code and experiments for “Aspect-Based Sentiment Classification (ABSC) Walkthrough,” and produced the write-up with metrics and limitations.

Course lab for “Aspect-Based Sentiment Classification (ABSC) Walkthrough”: short deadlines, public or synthetic data, and rubrics that reward reproducible notebooks and honest limitations.

Produce a small credible artifact—clean repo or notebook—with baselines, evaluation, and a crisp story of what would change in production.

Implemented end-to-end (Span labels for aspects and polarities, baseline sequence model, and error slices where aspect boundaries and negation flip scores.), logged experiments, compared alternatives, and documented dependencies plus failure cases.

Submitted a runnable deliverable with metrics, repeatable setup commands, and a trade-off section suitable for extending to real systems.