They define some rules for the task execution and propose a role-rule model for sensor networks where "role" is used as a synonym for task.
Both experiments found that perseveration at the tasks was determined by particular configurations of mood and stop rules for the task.
Inbound and outbound trials were automatically scored according to the rules for the task.
Through a detailed study of on-line tourism product reviews, we found these features and then model them in our extension, proposing the use of new and more complex NLP-based rules for the tasks of subjective and sentiment classification at the aspect-level.
Using an analogue checking task, both experiments showed that perseveration, as indicted by a range of measures relevant to compulsive checking, was affected by the configuration of the stop rule for the task and mood at the outset of checking.
Finally, pattern-matching techniques together with rule-based approaches combined with machine-learning classifier could be successfully adapted for this task.
Most out-of-the-box text classifiers, such as decision trees, rule learning, neural networks and support vector machines (SVMs) are not directly suitable for this task.
Note first their qualifications for this task.
Scott is qualified for this task.
No odorant was used for this task.
