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A repository of experiments with building a sentiment analysis model for Amazon reviews using PyTorch.

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amazon-review-sentiment

A repository of experiments with building a sentiment analysis model for Amazon reviews using PyTorch.

Amazon dataset retrieved from [1].

GloVe Common Crawl Word Embeddings retrieved from [2].

Commit Format

This project follows a modified Conventional Commits format for its commit messages (https://www.conventionalcommits.org/).

References

[1] Ni, J., Li, J., McAuley J. (2019). Justifying recommendations using distantly-labeled reviews and fined-grained aspects. Empirical Methods in Natural Language Processing (EMNLP). Retrieved from https://nijianmo.github.io/amazon/index.html.

[2] Pennington, J., Socher, R., and Manning, C. D. (2014). GloVe: Global Vectors for Word Representation. Empirical Methods in Natural Language Processing (EMNLP). 1532-1543. Retrieved from https://nlp.stanford.edu/projects/glove/.

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A repository of experiments with building a sentiment analysis model for Amazon reviews using PyTorch.

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