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The rapid development of the Internet has brought great convenience to users, but it also brought a lot of troubles to the users' information privacy exposure. This study selects the basic information of 300 users on FACEBOOK social media to cluster analysis. The data sets of users are divided into five groups by experiment, and the clustering results are classified and then discussed. By the analysis...
It might not seem dangerous for a person to leave some pieces of personal information on the Internet since everyone tends to do this. But the truth is that if someone ever tries to collect those pieces of information together, he might be able to find out the true identity of the person in reality after analyzing the collected data, which is what we call “cyber hunting”. This work focuses on the...
As a developing endeavor of data mining on semi-structured information, sentiment analysis to the comments on the Internet has aroused people's great interest recently. This paper analysis the influence of different stop word removal methods on the result of text classification and represent the more effective stop word removal list. The experiment bases on the sentiment comments which have been grasped...
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