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About Shirani MehrH PDF
This document discusses applications of deep learning to sentiment analysis of movie reviews. It explores the performance of recurrent, recursive, and convolutional neural networks on the Stanford Sentiment Treebank dataset, which contains 11,855 sentences extracted from movie reviews with fully labeled parse trees. The results of these deep learning models are compared to a baseline Naive Bayes classifier. Finally, the errors of the different models are analyzed and compared.
Detailed Information
| Author: | ['chirag801'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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