There are 4 repositories under asreview topic.
Workflow generator for simulation studies using the command line interface of ASReview LAB
Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB
Extension that adds Covid-19 related datasets to ASReview
Tool to preprocess datasets for ASReview
Template repository to extend ASReview with a new model easily.
ASReview extension to generate wordcloud from data files.
A plugin for ASReview allowing for switching between models during runtime.
Artwork for the ASReview project
This repository contains open teaching materials on using ASReview
Scripts for paper: 'ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews'
Hyper parameter optimization extension for ASReview. EXPERIMENTAL
The repository is part of the so-called, Mega-Meta study on reviewing factors contributing to substance use, anxiety, and depressive disorders. This repository contains the scripts for Post-Processing the screening results.
Semantic Clustering for ASReview Datasets
Code to automatically produce a report from ASReview on inter-rater reliability.
An extension for asreview implements a version of the tf-idf feature extractor that saves the matrix and the vocabulary.
Scripts to run simulations in ASReview on systematic review data of risk analysis documents of the Medicine Information Centre of the Royal Dutch Pharmacists Association.
Papers informations from top AI conferences
A convolutional neural network model plugin for ASReview
Extension for ASReview Lab for exporting notes from GUI to dataset csv file
Docker compose for setting up ASReview server with authentication
This plugin adds a new feature extractor based on doc2vec with a wider vector.
Project to examine if state-of-the-art feature extractors (i.e., transformers like RoBERTa, MPNET, and SPECTER) can outperform classical feature extractors (i.e., tf-idf and Doc2Vec) when classifying systematic reviews as relevant or irrelevant (using the ASReview software)
This repository contains the scripts used to create the systematic review datasets for a study on the benefit of using ASReview LAB for the development of Risk Benefit Analyses.
Repository containing data regarding research into switching models during classifing, and the use of CNNs
The code in this repository makes it possible to reproduce the results of my master thesis "Accelerating Systematic Reviews: Developing a Pipeline for Creating Enhanced Abstracts".
An extension for ASReview Lab to preprocess the dataset before importing in ASReview
This repo contains description of and scripts supporting the server setup of ASReview used for MegaMeta study
A model extension for ASReview. ASReview multilingual feature extractor is a feature extractor based on distiluse-base-multilingual-cased-v1.
Hyperparameter-training for the Mega-Meta project
The code in this repository makes it possible to reproduce the results of my master thesis "Evaluation of the performance of neural network models and classical models in the context of Active Learning for Systematic Reviewing"
ASReview Classifer Model Extension with ensemble classifiers