academic-data-search

To search for academic data, this Skill provides access to 28 integrated AMiner APIs. You can analyze scholarly publications, retrieve scholar profiles, and access institution data by executing specific Python scripts with your AMiner token.

You can retrieve a scholar's profile using the provided Python client script. Execute the scholar_profile action with the required AMiner token and the scholar's name to fetch detailed academic information.

Yes, you need an AMiner Open Platform token for authentication. This token is required to execute any of the 6 pre-defined workflows for scholar, paper, institution, journal, or patent analysis.

Yes, you can perform in-depth searches using natural language or structured keywords. This allows you to execute custom queries across the available academic datasets for comprehensive paper and institution research.

The Skill supports deep dive analysis across five academic data categories: scholar, paper, institution, journal, and patent. These are accessible through 6 flexible pre-defined workflows.

The Skill relies on the requests and json libraries to interface with AMiner APIs. Users must ensure their AMiner token is valid and manage API rate limits or query constraints as defined by the AMiner Open Platform.