Analýza chování uživatelů adaptivního webu

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Hruzík, Martin

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Vysoká škola báňská - Technická univerzita Ostrava

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Abstract

In recent years, there has been a significant development of information technology, and the number of the Internet users keeps increasing. However, due to the fact that the amount of the available data is growing rapidly, the problem of delivering relevant and quality data to end users occurs. Search engines are primarily concerned with this issue, but web pages themselves are trying to address this as well. Web pages are trying to understand individual users and adapt the contents accordingly. One of the key areas is the web navigation, which is what steers user to a particular target. Sentiment analysis is a much discussed topic, which is concerned with capturing emotion from a given text. This information is often of significant value. As far as Czech texts are concerned, this area is largely unexplored, and this work is attempting to change it.

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Import 05/08/2014

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adaptive web, semantic web, sentiment analysis, opinion mining, data visualization, content evaluation

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