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Mining opinions and analyzing sentiments from social network data help in various fields such as even prediction, analyzing overall mood of public on a particular social issue and so on. This paper involves analyzing the mood of the society on a particular news from Twitter posts. The key idea of the paper is to increase the accuracy of classification by including Natural Language Processing Techniques...
With explosive growth of malware and due to its damage to computer security, malware detection is one of the cyber security topics that are of great interests. Many research efforts have been conducted on developing intelligent malware detection systems applying data mining techniques. Such techniques have successes in clustering or classifying particular sets of malware samples, but they have limitations...
Blekko Inc., an Internet search company, has divided web sites into subjects we call slash tags. Text from these web sites can be processed using Latent Dirichlet Allocations (LDA), to determine sets of topics for each subject. These topics can then be used to classify any text to determine the subject. We will discuss the methods used to do this; the details of the corpus used for training and testing;...
Today, search engines play a vital role in accessing the online content. However, the data in the webpages are not clearly perceived by search engines. As a result, it provides a lot of irrelevant data with little desired information. In addition, it takes a lot of time in searching the appropriate result. By studying the online educational needs of Indian school children, we aim to retrieve appropriate...
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