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The tremendous growth rates of Internet and volume of content stored on its servers requires the creation of tools for automatic content analysis and processing. Intelligent systems for content processing aim to simplify and automate such tasks as content analysis and classification, finding keywords and building digests, distributing content according to specified criteria. This paper presents the...
This paper uses content analysis to analyze 80 papers concerning knowledge sharing in team-level gathered from CNKT database from year 2005 to 2010. The results show that: (1) the quantity of papers increases dramatically from year 2007, (2) the quantities of theoretical derivation and investigation method are in majority, (3) as to antecedents, the quantity of organizational and personal factors...
Content analysis is an important method in the research of computer supported collaborative learning. However, the general manual coding method for deeper content analysis is time consuming, which greatly limits the amount and scale of the analyzed content. On the other hand, the traditional text categorization technology has been used to support the interaction texts auto-coding, but the effect is...
Knowledge extraction extracts knowledge from documents by analyzing document contents, then markups knowledge attribute and stores them into knowledge base. This paper discusses definition of knowledge extraction at first, then presents goal, key technique, application and system architecture of knowledge extraction based on sentence matching and analyzing. The system identifies new sentences in a...
The following topics are dealt with: content analysis and distribution; semantics and intelligent content; educational and collaborative tools; gaming and production; archive and databases; and digital rights management.
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