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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
Tool to preprocess datasets for ASReview
[NeurIPS 2023] CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
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.
Artwork for the ASReview project
Open Science AI Tools for Systematic, Protocol-Based Literature Reviews
ASReview extension to generate wordcloud from data files.
Official extension for ASReview LAB enabling state-of-the-art NLP models with dense embeddings and deep learning architectures. Ideal for systematic reviews where lightweight models fall short.
A very simple python script to generate bibtex files (.bib) from exported parsifal's xls spreadsheet.
Simulations for the https://github.com/asreview/asreview
slr-kit is a framework to support the analysis of scientific literature based on topic modeling, allowing to extract useful statistics
Get related terms to a word.
Node.js Electron GUI for Scraping the Google Play Store.
Manages your SoKs
A systematic literature review on test case prioritization with FASTREAD
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