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SentiX

This is the source code of our COLING 2020 paper <SentiX: A Sentiment-Aware Pre-Trained Model for Cross-domain Sentiment Analysis>

Requirements

Pre-trained Models (PyTorch)

The following pre-trained models are available for download from Google Drive:

  • SentiX: PyTorch version, same setting with BERT-base,loading model with transformers.

Training

To train SentiX, simply run:

python pretrain_multigpu_final.py --dataset data_all --max_seq_len 256 --batch_size 16 --gradient_accumulation_steps 4 

Evaluation Instructions

To test after setting model path:

run_multidomain_sentiment_analysis.sh

File Structure

  • pretrain_multigpu_final.py: main file of pre-trained model
  • data_processing: data processing
  • models: our models
  • data_utils_pretrain_final.py: data_loader

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