sentiment-analysis-workshop

Deep Learning for Language Workshop prepared for the AI For Social Good Summer Lab, 2018

Contains a notebook and code for developing a sentiment analysis model on a subset of IMDB movie review data documented here

Pang, B., & Lee, L. (2004, July). A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd annual meeting on Association for Computational Linguistics (p. 271). Association for Computational Linguistics.

Setup and Requirements

• Python 3.6
• TensorFlow 1.8
• Jupyter Notebook

Download and extract the pretrained model here.

Sample standalone script usage:

1. train a model from scratch

python sentiment_rnn.py train --name experiment --base-dir /my/base/dir

2. continue training a model

python sentiment_rnn.py train --base-dir /my/base/dir/experiment --continue-epoch 2

3. runtime from an epoch

python sentiment_rnn.py runtime --base-dir /my/base/dir/experiment --continue-epoch 2