#Neural Sentiment Translator
Installation
Require python 2.7, Tensorflow, Gensim (for word2vec model), and Numpy
dowload dataset from http://ai.stanford.edu/~amaas/data/sentiment/ and extract into data/
Download google news negative 300 vectors and extract into model/
Usage
Training
python translate.py
To train with GPU, add the --gpu flag:
python translate.py --gpu
To load a checkpoint, use --load (and --skip_train to skip the training step)
python translate.py --skip_train --load path/to/checkpoint/dir
To get the sentiment of a sentence, use the --custom_input flag:
python translate.py --skip_train --load path/to/checkpoint/dir --custom_input "input sentence"
To translate to a given sentiment use --target_sentiment (-1 or 0 is negative, 1 is positive):
python translate.py --skip_train --load path/to/checkpoint/dir --custom_input "input sentence" --target_sentiment [-1,1]