A prototype for context identification of scientific papers via agent-based text mining
In many circumstances, it is quite challenging for researchers to look for papers that match their interests when searched from databases. More often, papers which have been searched are perused individually to precisely identify the relevant contents. In this paper, we present a prototype to test o...
| Main Authors: | , |
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| Format: | Conference Paper |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | 2nd International Symposium on Agent, Multi-Agent Systems and Robotics http://dspace.uniten.edu.my:80/jspui/handle/123456789/666 |