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Emotion mining is the science of detecting, analyzing, and evaluating humans’ feelings towards different events, issues, services, or any other interest. One of its speciﬁc directions is text emotion mining, that refers to analyzing people’s emotions based on observations of their writings. Text...
Polarity classiﬁcation in text is the problem of automatically detecting the general opinion of textual data. Analyzing the general opinion toward a topic of interest is important for different audiences, such as companies, politicians or even regular users. On the other hand, the availability of...
Text analysis of Maxpark and LiveJournal Russia: How is the evaluation of modern femininity and masculinity discussed in Russian blogsDownload
This thesis focuses on text analysis of Russian speaking blogs with the goal to examine critically discussions of femininity and masculinity in modern Russian society. The data corpora are comprised of blogs and comment entries from websites Maxpark.com and LiveJournal Russia. The central...
Anomaly detection in time series is one of the fundamental issues in data mining. It addresses various problems in different domains such as intrusion detection in computer networks, anomaly detection in healthcare sensory data, and fraud detection in securities. Though there has been extensive...