2006 · 47 citations · 13 references
The ever-increasing growth of the Web as principal provider of news and opinions makes it impossible for individuals to manually spot and analyze all information of particular importance for global large-scale corporations. Hence, automated means, identifying upcoming topics of utter relevance and monitoring the reputation of a brand as well as its competitors, are becoming indispensable. In this paper, we present a platform for analyzing Web data for such purposes, adopting different semantic perspectives and providing the market analyst with a flexible suite of instruments. We focus on two of these tools and outline their particular utility for research and exploration
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Improving recommendation lists through topic diversification
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Konstan et al. · 2005 · 1.8K citations
Mining product reputations on the Web
Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi et al. · 2002 · 410 citations
A language model approach to keyphrase extraction
Takashi Tomokiyo, Matthew Hurst · 2003 · 297 citations · Full text
Engineering, Multiple Language Models, Corpus Linguistics +16