The status quo challenge
Researchers spend an average of 371 TP3T working hours on literature collection, categorization and synopsis writing. Buckle Space's 'Academic Assistant' smart body can be targeted to solve these pain points.
functional application
- Intelligent Literature Capture: Configure the crawler plugin to grab the latest papers from specified journals and automatically categorize and store them by keywords.
- cross-language summary: Chinese structured abstract (background/methodology/conclusion) can be generated after uploading the English PDF document.
- reconstruction of charts and graphsRecognize key data charts in the literature and support export to editable Excel/Origin format.
- Analysis of cooperation networks: Automatically build author collaboration network mapping to discover potential partners
Customized recommendations
It is recommended that when creating an exclusive AI: 1) Bind institutional library privileges 2) Set up a discipline-specific thesaurus (e.g., MeSH thesaurus in the medical field) 3) Enable "Research Hot Spot Tracking" to push out weekly field developments. Note that when verifying AI-generated literature review, make sure to cross verify it through the original text of the references.
This answer comes from the articleBuckle Space: an office platform for efficiently creating and managing AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How can we improve the efficiency of researchers' literature processing through button space?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil