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sentiment's Introduction

About

This repo contains the code to run the sentiment analysis pipeline

  1. sentiment_pytorch.py - Pytorch code using DataParallel
  2. sentiment_ddp.py - Pytorch code using Distributed Data Parallel
  3. sentiment.py - Tensorflow MultiGPU

This takes as input the folder containing the input files, located in sentiment/ containing the text data. The processed files, and the results files are written to the folders as shown below.

sentiment/ *.parquet ...

sentimentres/ processed/ results/

Copying files

The files can be copied from the Wasabi S3 buckets using the following scripts

  1. copy_files_from_wasabi.sh
  2. copy_files_to_wasabi.sh

Environment

Use the file env_minimal.yml to setup a Python environment

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