Context identification of scientific papers via agent-based model for text mining (ABM-TM)
In this paper, we propose an agent-based text mining algorithm to extract potential context of papers published in the WWW. A user provides the agent with keywords and assigns a threshold value for each given keyword, the agent in turn attempts to find papers that match the keywords within a defined...
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Springer Verlag
2023
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