Finding and classifying Yes/No questions using a Support Vector Machine
نویسنده
چکیده
This paper concerns a text mining application designed to classify answers to “yes/no” questions. The corpus consists of responses to a European Union green paper. These answers are found first by parsing the responses to the green paper. After extracting features such as bag-of-words and bigrams, multiple classifiers are trained on the model and compared to each other. The Support Vector Machine approach seems to work the fastest while also having one of the highest accuracy ratings (81.6092 %)
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تاریخ انتشار 2010