Background
Literature organization is a fundamental part of academic paper writing, and traditional manual organization methods are time-consuming and labor-intensive. With the automated document processing function of THESIS Agent, the efficiency of this process can be significantly improved.
Core Solutions
- PDF file processing: support directly upload thesis PDF file, the system will automatically extract the key information
- URL resolution: enter the online link to the paper to complete the remote literature analysis
- Batch processing: support multiple documents processing at the same time, generate structured abstracts
- Keyword extraction: automatic identification of core terms in the literature and establishment of correlation relationships
Specific steps
- Prepare literature to be analyzed (PDF or URL)
- Modify the input parameters in the analyze_literature.py script
- Run python scripts/analyze_literature.py to start the analysis
- View the results of the Markdown formatting analysis in the output directory
caveat
Ensure that the network connection is stable and the system needs to call the API to complete the semantic analysis. For sensitive literature it is recommended to desensitize it first.
This answer comes from the articleTHESIS Agent: An Intelligent Tool to Assist in Writing Academic PapersThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of inefficient documentation in academic essay writing?
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