Preprint / Version 1

Sentiment Analysis on Amazon Product Reviews

##article.authors##

  • Aman Saridena AcceptU

Keywords:

Sentiment Analysis, Product Reviews, Embedding

Abstract

Sentiment Analysis refers to analyzing text in order to determine the sentiment or opinion that the text is supposed to convey. In this article, the text that is being analyzed are Amazon product reviews taken from Kaggle’s Amazon Reviews Dataset, and the predicted sentiment is whether or not the reviewer liked or disliked the product.

References or Bibliography

Andriy Burkov. The hundred-page machine learning book, volume 1. Andriy Burkov Canada, 2019.

Sebastian Raschka. Python machine learning. Packt publishing ltd, 2015.

Cha Zhang and Yunqian Ma. Ensemble machine learning: methods and applications. Springer,

Team, Keras. “Keras Documentation: Keras API Reference.” Keras, https://keras.io/api/.

“ML: One Hot Encoding to Treat Categorical Data Parameters.” GeeksforGeeks, 21 June 2022, https://www.geeksforgeeks.org/ml-one-hot-encoding-of-datasets-in-python/.

Perry, Tal. “What Is Tokenization in Natural Language Processing (NLP)?” Machine Learning Plus, 16 May 2022, https://www.machinelearningplus.com/nlp/what-is-tokenization-in-natural-language-processing/.

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Posted

09-16-2022