This repository contains the Jupyter Notebook and Python scripts developed for the automatic screening process in our study, A Systematic Review of Aspect-based Sentiment Analysis (ABSA): Domains, Methods, and Trends. We share these scripts to facilitate large-scale literature reviews by mining extracted academic publication PDFs and reference files through the following steps: Unzipping and renaming files when necessary PDF keyword searching and counting Keyword- and rule-based auto-screening and analysis More information are available in the README.md file. WARNING: It is recommended to backup of your PDF files before executing the `0-1. (One-off) unzip_and_rename_files` script as the code will rename files under the 'IEEE' subdirectories even with incomplete batch execution (to create unique identifiers)