Word2Vec Embeddings Lab
Trained shallow embeddings, inspected analogies with caveats, and compared retrieval quality vs bag-of-words on a small corpus.
What was my role?
I was the sole implementer for this coursework module: scoped requirements, wrote the code and experiments for “Word2Vec Embeddings Lab,” and produced the write-up with metrics and limitations.
Situation
Course lab for “Word2Vec Embeddings Lab”: short deadlines, public or synthetic data, and rubrics that reward reproducible notebooks and honest limitations.
Task
Produce a small credible artifact—clean repo or notebook—with baselines, evaluation, and a crisp story of what would change in production.
Action
Implemented end-to-end (Trained shallow embeddings, inspected analogies with caveats, and compared retrieval quality vs bag-of-words on a small corpus.), logged experiments, compared alternatives, and documented dependencies plus failure cases.
Result
Submitted a runnable deliverable with metrics, repeatable setup commands, and a trade-off section suitable for extending to real systems.