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Showing 1 to 3 of 3 for “"spam classification"”.
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Random Sequential Encoders for Private Data Release in NLP
… linear encoder. For the private release of a spam classification dataset, the usage of random long short-term memory networks as encoders maintained the most utility among all random encoders, while being relatively robust to the privacy attacks this thesis considers, and signals a promising …
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Automatic identification and removal of low quality online information
… based on camouflaged messages, and we show that spam producers and information consumers are entrenched in a spam arms race. To break free of this arms race, we propose two solutions. One solution involves refining the statistical learning process by associating disproportionate weights to spam …
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Spam Analysis and Detection for User Generated Content in Online Social Networks
… also makes it easy to be polluted andattacked by spammers and malicious users. How users participate in UGCnetworks, especially how users contribute content and share content with theirfriends and other users, is fundamental to spam detection and high qualityknowledge discovery. In this …