popkristina/NER_for_movies

Aspect-Based Sentiment Analysis on Non-Traditional Entities

-> Documentation under construction

Project Overview

The project is intended to extract non-regular entities like movies, actors, genres and keywords with respect to their sentiment from Reddit submissions in a subreddit for movie recommendations.

Text format of the submissions: https://www.reddit.com/r/MovieSuggestions/

Usage

1. For data preprocessing and model training, head to 'notebooks'.

2. For inference, run 'pipeline.py'.

Resources

• Google BERT: https://github.com/google-research/bert

• BERT Google repo: https://github.com/google-research/bert/blob/master/multilingual.md

• Hugging Face BERT pre-trained models: https://huggingface.co/models?filter=tf

• BERT Fine-Tuning Tensorflow core: https://www.tensorflow.org/official_models/fine_tuning_bert

• BERT fine tuning google colab: https://colab.research.google.com/drive/1ywsvwO6thOVOrfagjjfuxEf6xVRxbUNO

• ELMO: https://allennlp.org/elmo