Scientific Paper Text Analyzer

Use this tool to analyze and visualize the content of any scientific paper. Simply paste the text of the paper into the text box below and click "Process Text" to generate interactive visualizations.

How This Web Application Works

This web application provides a comprehensive analysis platform for scientific papers through a modular architecture that leverages multiple JavaScript libraries for natural language processing and data visualization. The system processes paper text through several specialized components:

Core Components

• Text Processing Engine: Powered by NLP.js, our text processor in utils/text-processor.js extracts key metadata, performs entity recognition, identifies relationships between concepts, and categorizes content by research topics and methodologies.
• Visualization Framework: A collection of specialized visualizers in the visualizers/ directory render different aspects of the paper's content using D3.js and Chart.js for interactive data representation.

Interactive Visualizations

• Paper Statistics: Analyzes and displays key metrics including word count, reading time, citation density, and content distribution across sections using responsive charts.
• Research Knowledge Graph: Generates an interactive network visualization (knowledge-graph.js) that maps relationships between key concepts, methods, and entities, with nodes you can drag and explore to understand conceptual connections.
• Key Topics & Methods Venn Diagram: Creates an interactive Venn diagram (keyword-venn.js) showing overlaps between research topics, methodologies, and findings to highlight interdisciplinary aspects.
• Research Timeline: Constructs a chronological visualization (research-timeline.js) of methodologies and research milestones mentioned in the paper.
• Topic Distribution Chart: Produces a dynamic chart (topic-chart.js) that quantifies and displays the distribution of topics within the paper, allowing for filtering and exploration.

Usage and Interaction

Users can paste any scientific paper text into the text field and click "Process Text" to trigger the analysis pipeline. Each visualization offers interactive elements including tooltips, zoom capabilities, filtering options, and the ability to focus on specific aspects of the content. The analysis runs entirely in the browser using client-side JavaScript, ensuring privacy and eliminating the need for server processing.

This tool is particularly valuable for researchers, students, and academics who want to quickly understand the structure and key elements of complex scientific papers, identify connections between concepts, and visualize research methodologies in an accessible format.