Snowlit - Research tool leveraging Scopus data for metadata analysis and visualization

Snowlit Cover Image
Client
Reseach Industry
Industry
Reseach Industry
Technology
Python

SnowLit facilitates comprehensive research literature analysis by extracting, visualizing, and analyzing metadata from Scopus, utilizing forward and backward snowballing methods to discover additional scholarly work.

SnowLit is designed to streamline the process of research literature analysis by leveraging Scopus data.

It provides tools for extracting metadata from scientific documents, creating detailed visualizations, and employing forward and backward snowballing techniques to discover additional research papers.

The tool outputs data in various formats including CSV files and PPT presentations, offering insights into the distribution of papers by year, source, type, and other parameters, as well as identifying top-cited works and generating word clouds.

Features:

  • 1. Metadata Extraction
    • Extract metadata from Scopus documents, systematically aggregated into CSV files
  • 2. Data Visualization
    • Generate detailed graphical visualizations, available as PNG files and PowerPoint presentations
  • 3. Backward Snowballing
    • Compile and extract metadata from references of research papers, formatted in CSV
  • 4. Forward Snowballing
    • Aggregate and extract metadata from citations of research papers, also formatted in CSV
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