[PDF] Sequential sampling models of human text classification
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two models of human text document classification based on random walk and accumulator sequential sampling processes. The models are evaluated using data ...
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Develops 2 models of human text document classification based on random walk and accumulator sequential sampling processes.
This paper develops two models of human text document classification based on random walk and accumulator sequential sampling processes.
Feb 11, 2010 · This paper develops two models of human text document classification based on random walk and accumulator sequential sampling processes. The ...
The models are evaluated using data from an experiment where participants classify text documents presented one word at a time under task instructions that ...
This paper develops two models of human text document classification based on random walk and accumulator sequential sampling processes. The models are ...
Sequential sampling models assume that people make speeded decisions by gradually accumulating noisy information until a threshold of evidence is reached.
[PDF] Fast Text Classification Using Sequential Sampling Processes
sites.socsci.uci.edu › textclas-ai
This paper has presented two text classifiers based on sequential sampling models of human decision making. Both techniques achieve reasonable levels of ...
Using insights gained from examining the way humans make fast decisions when classifying text documents, two new text classification algorithms are developed ...
An algorithm for sequential sampling during machine learning of statistical classi ers was developed and tested on a newswire text categorization task. This ...