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Topic Analysis

The first crucial step in our research process is comprehensive topic analysis. This phase ensures we understand exactly what needs to be researched and how to approach it effectively.

Analysis Components​

1. Query Understanding​

  • Intent identification
  • Subject matter detection
  • Scope definition

2. Search Strategy​

  • Search term optimization
  • Database selection
  • Language considerations

3. Perspective Planning​

  • Multiple viewpoints
  • Industry contexts
  • Regional variations
  • Time relevance

Multiple Perspectives​

Our system analyzes topics from various angles:

  1. Academic Perspective

    • Scholarly sources
    • Research papers
    • Academic databases

  2. Industry Perspective

    • Market reports
    • Industry analysis
    • Professional insights

  3. Current Events

    • News sources
    • Recent developments
    • Trending discussions

Language Processing​

For optimal results, we:

  • Retain language of topic.
  • Use local Google search engines (e.g. google.fr for French)
  • Give preference to images in selected language.
Topic Optimization

For best results, provide specific topics rather than broad subjects. For example:

  • Instead of "AI in Healthcare"
  • Use "Impact of AI on Healthcare: Implementation Challenges for Small Clinics in 2024"