Collection of Web Opinion Information and Visualization Based on SDC

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
Analysis of developing web opinions is potentially valuable for discovering ongoing topics of interests of the public like terrorist and crime detection, understanding how topics evolve together with the underlying social interaction between participants, and identifying important participants who have great influence in various topics of discussions. Nonetheless, the work of analyzing and clustering Web opinions is extremely challenging. Unlike regular documents, Web opinions are short and sparse text messages with noisy content. Typical document clustering techniques with the goal of clustering all documents applied to web opinions produce unsatisfactory performance.
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