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With the wide adoption of social networks, people are accustomed to post their ideas and thinking via these platforms. Tweets or comments online usually come with individual sentiment, which are time consuming to be analyzed by human labor. This study encapsulates a prototype Chinese sentiment mining system and takes a global hotel reviewing website TripAdvisor as the evaluation sample. The proposed...
This paper presents text and data mining in tandem to detect the phishing email. The study employs Multilayer Perceptron (MLP), Decision Trees (DT), Support Vector Machine (SVM), Group Method of Data Handling (GMDH), Probabilistic Neural Net (PNN), Genetic Programming (GP) and Logistic Regression (LR) for classification. A dataset of 2500 phishing and non phishing emails is analyzed after extracting...
Text is still the most prevalent Internet media type. Examples of this include popular social networking applications such as Twitter, Craigslist, Facebook, etc. Other web applications such as e-mail, blog, chat rooms, etc. are also mostly text based. A question we address in this paper that deals with text based Internet forensics is the following: given a short text document, can we identify if...
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