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The repository contains codebase for building state-of-the-art deep learning techniques for opinion mining.

Currenly following models have been created and tested:

  • Models for IEST @ WASSA-2018 [FNN, CNN, LSTM, CNN-LSTM, LSTM-CNN ++]

Prerequisites

  1. Related resources for featureizers (only if you are using them) (ex: lexicons, word-embedding models)
  2. Some python knowledge

Setup the Lab

  1. Install textkit-learn
  2. Configure path to resources in oplab/config.py
  3. Happy Experimenting!

How to Start

  • To train a model its simple as calling python oplab train -c [config_file] -m [model_path]

  • To evaluate just python oplab evaluate -m [model_path] -e [evaluation_metrics] -o [predictions_file]

Licensing