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About Applications of Deep Learning To Sentiment Analysis of Movie Reviews
This document explores using deep learning models for sentiment analysis of movie reviews. It begins with an introduction to sentiment analysis and challenges in the field. Traditional approaches rely on engineered features but struggle with language subtleties. Deep learning models represent words as vectors and learn complex features, fitting well for sentiment analysis. The document analyzes a movie review dataset and provides a Naive Bayes baseline, achieving 38% accuracy. It then applies and compares recurrent, recursive, and convolutional neural networks.
Detailed Information
| Author: | ['Tamara Komnenić'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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