A prototype for context identification of scientific papers via agent-based text mining

• 主要な著者: Mahmoud, M.A., Ahmad, M.S.
• フォーマット: Conference Paper
• 言語: English
• 出版事項: 2017
• 主題: Agent-based simulation; Context Identification; Data Mining; 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...