The Question Answering System (QAS) is a classical area of research. Turing machine is one of such kind of experiment. the given system is able to learn from a set of inputs. these inputs are the relevant information in the form of text. The system processes unstructured text data and obtains filtered information, using preprocessing technique. After preprocessing the keywords are selected using a global feature selection approach is implemented. these feature sets are further converted into the basic questions using ACO (ant colony algorithm). That shows the example of rule-based learning. Finally, for recognizing the patterns KNN algorithm is applied. using the human and system interaction approach we obtained 82.6% accurate results.
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Tags: data mining,