Paper Analysis Features

DeepPaper AI helps you understand papers quickly, evaluate their value, and get deep insights. Here's how our analysis tools work.

How Analysis Works

Our analysis has three levels: basic, structural, and value assessment. They work together to give you a complete picture.

Basic Analysis

Basic analysis gives you the big picture and key points:

  • AI Analysis: Structured summaries and overviews
  • Abstract Questions: Core research questions, methods, and findings

Use this for quick understanding and initial screening.

Structural Analysis

This level digs into paper components:

  • Introduction: Research background, problems, and goals
  • Methods: Research methods, experiments, and technical details
  • Results: Findings, data, and experimental results

Use this for deep understanding and learning methods.

Value Assessment

This level looks at paper value:

  • Academic Position: Field position and innovations
  • Technical Path: Method development and evolution
  • Hypothesis Check: Theory assumptions and testing
  • Field Value: Academic and practical potential
  • Literature Review: Reference network and origins

Use this for research decisions and trend analysis.

How Features Work Together

Our features complement each other:

  • Big to Small: From overview to details to strategy
  • Cross-Check: Features verify each other (like methods and results)
  • Flexible Use: Use one feature or combine them as needed

How to Use

Quick Screening

  1. Check AI analysis for the big picture
  2. Use abstract questions to check relevance
  3. Decide if you want to read more

Deep Understanding

  1. Get the framework from AI analysis
  2. Find key points in abstract questions
  3. Read introduction, methods, and results
  4. Compare with the original paper

Research Decisions

  1. Collect key papers in your field
  2. Use academic position and literature review
  3. Check potential with technical path and field value
  4. Make your research plan

Writing Help

  1. Learn from good papers
  2. See how they present background
  3. Study their method descriptions
  4. Learn data presentation techniques

Advanced Analysis

For papers with basic analysis, you can run "Advanced Analysis" to get:

  • Complete structural and value analysis
  • Deeper AI processing
  • More comprehensive results

Note:

  • Uses extra credits
  • Takes longer to process
  • Best for important papers

Best Practices

For the best results:

  • Upload clear, complete PDFs
  • Use multiple features together
  • Compare with the original text
  • Analyze related papers together
  • Use Q&A for deeper insights
  • Export to tools like Obsidian or Zotero

Common Questions

Which Features Should I Use?

Choose based on your needs:

  • Quick understanding: AI analysis and abstract questions
  • Learning methods: Methods and results analysis
  • Evaluating value: Academic position and field value
  • Exploring directions: Technical path, hypothesis check, and literature review

What Papers Work Best?

Our analysis works well with:

  • Journal and conference papers
  • Preprints and tech reports
  • Theses and research reports
  • Papers from many fields

We adjust our analysis based on paper type and field.

How to Get Better Results?

Try these tips:

  • Upload clear, complete PDFs
  • Make sure papers have standard structure
  • Use "Advanced Analysis" for important papers
  • Try "Re-analyze" if results aren't good

What if Analysis Doesn't Match the Paper?

If analysis differs from the paper:

  1. Trust the paper over the analysis
  2. Use Q&A to ask about differences
  3. Send us feedback
  4. Try "Re-analyze" for better results

Using these tools well can help you read faster, understand deeper, and make better research decisions.