Skip to content

bencxs/rt-movie-reviews

Repository files navigation

rt-movie-reviews

Sentiment analysis on Rotten Tomatoes movie reviews

Introduction

Practice code implementing a Convolutional Neural Network to classify positive vs negative movie reviews taken from Rotten Tomatoes.

Requirements

Libraries used:

  • Python (2.7)
  • TensorFlow (> 0.10)
  • TFLearn

Also, the pretrained word2vec weights binary file can be downloaded from

https://code.google.com/p/word2vec/

Status

  • Base model implemented using TFLearn, a high-level API for TensorFlow to allow quick and easy prototyping.
  • Native TensorFlow code implemented.
  • Added pretrained word2vec weights.

References

http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/

Convolutional Neural Networks for Sentence Classification - Yoon Kim, EMNLP 2014

About

Sentiment analysis on Rotten Tomatoes movie reviews

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published