Classification of short comments by weighted tree kernels using the hierarchy of Wikipedia
Mashahiro Takeda, Nobuyuki Kobayashi, Hiromitsu Shiina · 2017
With the rise of Web services for posting tourist facility and product reviews, and short comments such as Twitter, there are increasing calls for a method that alleviates the burden of creating corpus and identifying text both automatically and accurately. Further, in the lecture questionnaires used for university lectures, the free reply answers are all short text, and classification of the short text could be used in evaluating lectures. Until now, most methods have used the appearance frequency of vocabulary, based on Bag-of-Words, as the basic method of classifying text. In this study, however, we converted short comments, such as tweets, into tree structure data for category classification, and classified according to a weighted tree kernel, in which weight is further attached to the tree node sections on the tree kernel.