Working paper on latent semantic scaling

The detail of our automated content analysis technique called latent semantic scaling (LSS) is now available in Kohei Watanabe's working paper titled Big Media Analysis: Application of Vector Space Models to Document Scaling. Computerized analysis of media content is often challenging because diverse topics in news stories cause high data sparseness. Although supervised machine learning …

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New paper on geographical news classification technique

Kohei Watanabe's research paper title Newsmap: A semi-supervised approach to geographical news classification appeared in Digital Journalism. It explains how we selected news stories only about Ukraine or Russia from a large corpus in the projects. This paper presents the results of an evaluation of three different types of geographical news classification methods: (1) simple …

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