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Text Search Filters in "News": semantic vs exact matches

Your platform offers two ways to filter text content. “Semantic search” aims to understand the meaning and context behind the entered query, providing results that are relevant even if they don't contain the exact keywords. On the other hand, “exact matching search” only returns results that precisely match the keywords entered. Here are the filter options you can choose from:

Semantic Vector Search filter:

“Article Text Quick Search (Content)” filter

  • Identifies articles performing AI-driven semantic analysis on vectorised text extracted from websites, to find relevant articles by understanding their meaning rather than relying on exact keyword matches.
    • Example: Searching "Renewable Energy" may return results like "Clean Energy Systems"
    • Example: Searching "Gaming Safeguarding" may return results like "Child Protection Features”
  • Results are capped at 1,000 when using the 'AND' operator, including any additional filters applied.
  • Results will respect the article publication period limits set for your platform.

Use Cases and Tips

  • Enter one single topic as words (e.g., “Energy”) or sentence (e.g., “Renewable Energy Technology”).
  • To search for multiple topics, re-apply the filter in the Advanced Filters section.

Exact matching filters:

Use other 'Text Search' filters for exact matches on specific search terms:

  • Article Text Search (Content) - searches within the article content. For exact matches you can add quotation marks (”“) around the search term.
  • Article Text Search (Keywords) - searches within the company “Keywords” field. Keywords are specific stored values, either from your data providers, or generated by machine learning models running on your platform.