Download DD2583 Final Report PDF Free - Full Version
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About DD2583 Final Report
This document summarizes a study that used sentiment analysis to classify product reviews from Amazon.com as positive or negative. Three machine learning algorithms were compared: Multinomial Naive Bayes (MNB), Linear Support Vector Machine (LSVM), and Long Short-Term Memory (LSTM) network. The LSTM achieved the highest performance with 90% accuracy and 96% AUC on the test set. It was then applied to additional Amazon datasets, classifying reviews of different product categories with over 90% accuracy, particularly for furniture reviews. The study concludes LSTM networks are well-suited for classifying sentiment in Amazon product reviews across different categories.
Detailed Information
| Author: | ['Ian Amador'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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