robolab-pavia/slr-kit
slr-kit is a framework to support the analysis of scientific literature based on topic modeling, allowing to extract useful statistics
This tool helps researchers, academics, and graduate students efficiently conduct Systematic Literature Reviews (SLRs). By analyzing scientific paper abstracts from RIS files, it automatically identifies key topics, clusters papers by subject, and generates statistics like publication trends over time or journal distribution per topic. The output includes structured data and reports that streamline the review process.
Use this if you are performing a Systematic Literature Review of scientific papers and want to automate topic identification, paper clustering, and statistical reporting from a collection of abstracts.
Not ideal if your primary goal is to conduct a qualitative review that requires deep reading and subjective analysis of full papers, rather than a quantitative analysis of abstracts.
Stars
10
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/robolab-pavia/slr-kit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models...
i-dot-ai/themefinder
A topic modelling Python package for analysing one-to-many question-answer data.
andifunke/topic-labeling
The project proposes a framework to apply topic models on a text-corpus and eventually topic...
bab2min/tomotopy
Python package of Tomoto, the Topic Modeling Tool
bobxwu/TopMost
A Topic Modeling System Toolkit (ACL 2024 Demo)