Abstract
In this paper, we define a novel problem named competed intention identification of online news. We propose new features to represent the competed intention of the documents. The support vector machine (SVM) is employed to adopt our features to identify the competed intention in the news article. Experimental results demonstrate that the features we designed are effective for identifying the documents with competed intention.
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CITATION STYLE
Chen, Z. Y., & Chen, C. C. (2016). Competition detection from online news. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9806 LNCS, pp. 117–128). Springer Verlag. https://doi.org/10.1007/978-3-319-42706-5_9
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