Sentiment analysis on Amazon Product Reviews
DOI:
https://doi.org/10.47611/jsrhs.v12i1.4005Keywords:
Sentiment Analysis Product Reviews EmbeddingAbstract
Sentiment Analysis refers to analyzing text in order to determine the sentiment or opinionthat the text is supposed to convey. In this article, the text that is being analyzed are Amazonproduct reviews taken from Kaggle’s Amazon Reviews Dataset, and the predicted sentiment iswhether or not the reviewer liked or disliked the product.
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Andriy Burkov. The hundred-page machine learning book, volume 1. Andriy Burkov Canada,2019.[2] Sebastian Raschka. Python machine learning. Packt publishing ltd, 2015.[3]ChaZhangandYunqianMa.Ensemblemachinelearning:methodsandapplications.Springer,2012.[4] Team, Keras. “Keras Documentation: Keras API Reference.”Keras, https://keras.io/api/.[5] “ML: One Hot Encoding to Treat Categorical Data Parameters.”GeeksforGeeks, 21 June2022, https://www.geeksforgeeks.org/ml-one-hot-encoding-of-datasets-in-python/.[6] Perry, Tal. “What Is Tokenization in Natural Language Processing (NLP)?”MachineLearning Plus, 16 May 2022,https://www.machinelearningplus.com/nlp/what-is-tokenization-in-natural-language-processing/.
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