Active learning for systematic reviews

Parsifal is a tool to assist researchers to perform Systematic Literature Reviews

LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook

Systematic Literature Review (SLR) using AI involves leveraging artificial intelligence techniques to automate and expedite the process of reviewing and synthesizing large volumes of scholarly literature.

tools for fast reading of docs

Workflow generator for simulation studies using the command line interface of ASReview LAB

Written in python, for checking reference lists in systematic reviews and literature reviews, helps with reference list searching both backward&forward by extracting references and creating search queries, ranks articles by relevance to improve screening efficiency, download full-text pdf of research articles in batch.

Tool to preprocess datasets for ASReview

[NeurIPS 2023] CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews

ASReview extension to generate wordcloud from data files.

Artwork for the ASReview project

slr-kit is a framework to support the analysis of scientific literature based on topic modeling, allowing to extract useful statistics

Simulations for the https://github.com/asreview/asreview

Get related terms to a word.

A very simple python script to generate bibtex files (.bib) from exported parsifal's xls spreadsheet.

Manages your SoKs

[ECIR 2022] Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study

Systematic Literature Review, Research Proposal and a detailed report on Three-tier authentication system: A Survey and an Experiment

This repository contains the scripts for the ML-Trauma project of the McDevitt Lab at NYU.

A systematic literature review on test case prioritization with FASTREAD