vtmike2015/Graph-Based-Literature-Review-Tool
This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.
This tool helps researchers and academics efficiently conduct literature reviews. It takes metadata from various academic databases like OpenAlex or Web of Science, and transforms it into an interactive network graph. This graph allows you to visualize and explore the intricate connections between academic papers, authors, and institutions.
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Use this if you need to understand complex relationships within academic literature and want to move beyond simple keyword searches to a visual, interconnected view.
Not ideal if you're looking for a simple citation manager or a tool to perform basic statistical analysis on publication counts.
Stars
14
Forks
4
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Oct 30, 2023
Commits (30d)
0
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