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The technique of content analysis is used in construction of thesaurus, subject headings and designing classification schemes for efficient organisation of knowledge in the libraries. Moreover, content analysis is also useful in analyzing the user queries and in designing search formulation. The purpose of paper is to analyze, evaluate and apply Zipf's Law in Computer Science through the content analysis...
In multimodal presentations the perceived audiovisual quality assessment is significantly influenced by the content of both the audio and visual tracks. Based on our earlier subjective quality test for finding the optimal trade-off between audio and video quality, this paper proposes a novel method for relative multimodal complexity analysis to derive the fusion parameter in objective audiovisual...
Recent years have seen a surge in online video content which is often used as a communication medium and information resource by users. The explosive growth in content has given rise to the need of developing effective recommendation system which can help users discover meaningful and interesting videos. In this paper, we present a large-scale Map-Reduce video recommendation system. Our approach includes...
In this paper we investigate whether the MSCI EURO index can be predicted based on the content of European Central Bank (ECB) statements. We propose a new model to retrieve information from free text and transform it into a quantitative output. For this purpose, we first identify all adjectives in an ECB statement by using the Stanford Part-of-Speech Tagger and feed these to the General Inquirer (GI)...
Consumers' loyalty is essential to the enterprises' success in e-commerce. In order to find out which factors have impact on consumer loyalty, a literature review was employed using content analysis and a "7C" model of consumer loyalty in B2C e-commerce was built. Then we did an empirical research to prove the reliability of the model. A questionnaire wad designed and data were collected...
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