chainer-cnn

Simple Convolutional Neural Network for sentence classification (positive or negative) .

Requirements

This code is written in Python with Chainer which is framework of Deep Neural Network.
Please download GoogleNews-vectors-negative300.bin.gz from this site and put it in the same directory as these codes.

Usage

  $ python train_cnn.py [--gpu 1 or 0]   

Optional arguments

  -h, --help            show this help message and exit
  --gpu   GPU           1: use gpu, 0: use cpu
  --data  DATA          an input data file
  --epoch EPOCH         number of epochs to learn
  --batchsize BATCHSIZE
                        learning minibatch size
  --nunits NUNITS       number of units

Data format for input data

• [0 or 1] [Sequence of words]
  • 1 and 0 are positive and negative, respectively.

Examples

1 That was so beautiful that it can't be put into words . (POSITIVE SETENCE)
0 I do not want to go to school because I do like to study math . (NEGATIVE SENTENCE)