https://github.com/yashk2810/imdb-neural-networks

Using CNN and RNN for sentimental analysis
https://github.com/yashk2810/imdb-neural-networks

convolutional-neural-networks imdb recurrent-neural-networks

Last synced: 6 months ago
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Using CNN and RNN for sentimental analysis

• Host: GitHub
• URL: https://github.com/yashk2810/imdb-neural-networks
• Owner: yashk2810
• Created: 2017-03-22T14:51:37.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-04-25T20:43:32.000Z (over 8 years ago)
• Last Synced: 2025-02-09T21:13:43.812Z (8 months ago)
• Topics: convolutional-neural-networks, imdb, recurrent-neural-networks
• Language: Jupyter Notebook
• Homepage:
• Size: 5.86 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# IMDB-Neural-Networks

Sentimental Analysis on the IMDB dataset is done achieving an accuracy of 89.39% using the GloVe(6B-50D) pre-trained 

word vectors. 

Multi-CNN model achieves an accuracy of 89.31%. This model doesn't use the GloVe pre-trained vectors and still achieves pretty impressive results.