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All Projects → roomylee → Rcnn Text Classification

roomylee / Rcnn Text Classification

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

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tensorflowconvolutional-neural-networkstext-classificationsentiment-analysisrecurrent-neural-networksrcnn

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Recurrent Convolutional Neural Network for Text Classification

Tensorflow implementation of "Recurrent Convolutional Neural Network for Text Classification".

rcnn

Data: Movie Review

  • Movie reviews with one sentence per review. Classification involves detecting positive/negative reviews (Pang and Lee, 2005).
  • Download "sentence polarity dataset v1.0" at the Official Download Page.
  • Located in "data/rt-polaritydata/" in my repository.
  • rt-polarity.pos contains 5331 positive snippets.
  • rt-polarity.neg contains 5331 negative snippets.

Implementation of Recurrent Structure

recurrent_structure

  • Bidirectional RNN (Bi-RNN) is used to implement the left and right context vectors.
  • Each context vector is created by shifting the output of Bi-RNN and concatenating a zero state indicating the start of the context.

Usage

Train

  • positive data is located in "data/rt-polaritydata/rt-polarity.pos".

  • negative data is located in "data/rt-polaritydata/rt-polarity.neg".

  • "GoogleNews-vectors-negative300" is used as pre-trained word2vec model.

  • Display help message:

     $ python train.py --help

  • Train Example:

     $ python train.py --cell_type "lstm" \
 --pos_dir "data/rt-polaritydata/rt-polarity.pos" \
 --neg_dir "data/rt-polaritydata/rt-polarity.neg"\
 --word2vec "GoogleNews-vectors-negative300.bin"

Evalutation

  • Movie Review dataset has no test data.

  • If you want to evaluate, you should make test dataset from train data or do cross validation. However, cross validation is not implemented in my project.

  • The bellow example just use full rt-polarity dataset same the train dataset.

  • Evaluation Example:

     $ python eval.py \
 --pos_dir "data/rt-polaritydata/rt-polarity.pos" \
 --neg_dir "data/rt-polaritydata/rt-polarity.neg" \
 --checkpoint_dir "runs/1523902663/checkpoints"

Result

  • Comparision between Recurrent Convolutional Neural Network and Convolutional Neural Network.
  • dennybritz's cnn-text-classification-tf is used for compared CNN model.
  • Same pre-trained word2vec used for both models.

Accuracy for validation set

accuracy

Loss for validation set

accuracy

Reference

  • Recurrent Convolutional Neural Network for Text Classification (AAAI 2015), S Lai et al. [paper]
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