Look under the hood of Google search results by examining the AI-based summary, shows related material from some knowledge base (Wikipedia as an example) and advices extra search keywords.
Every minute there are over 3.8 million searches across the globe on Google. These queries contain a vast amount of text data – usually unstructured. To compress the essence and stay focused on the topic, Silk Data engineers and data scientists developed a free application – Briefly.
The analysis of Google search results is based on proprietary AI-based technology. The extension recognizes the text content described at each link and separates only relevant information about the topic from the entire text. The extension omits introductory descriptions, marketing expressions, final parts which lengthen the text itself. People usually spend 5-15 minutes on average to read one article and understand the relevance of the topic they’re looking for. Briefly reduces the time on exploring the content – now it takes seconds. Thus, text analysis and processing have become simpler than ever.
Features:
- Estimation of reading time
- Shows summary and main image
- Displays links related Wikipedia articles
- Shows several keywords for search query clarification (beta)
The recommendation of related materials is based not on specific keywords, but on the similarity in meaning (semantic similarity). To find related articles, Briefly extension calculates the ‘profile’ of a web page (topics discussed on the page) and searches for Wikipedia articles with a similar profile.
You may also check the product functionality using web interface: https://briefly.silkdata.ai/
Briefly
Briefly