Case Studies

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  • Google SEO Strategies using Text Mining and Network Visualization

    Search engine optimization is a set of strategies used to promote certain content in search results. Using a combination of text mining and network visualization techniques, you can identify discrepancies between what the users search for and what they actually find. You can then create the content that bridges that gap, so that it’s shown at the top of the relevant search results.

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  • News Analysis Using Text Network Visualization of RSS Feeds

    Text network analysis can be used to better understand the news picture of the day and to analyze the current media discourse.

    In this case study we import RSS news feeds of the major new outlets to visualize their discourse and to compare their approach.

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  • “The Game” and Social Dynamics of Pick-Up Artists

    Basic principles of network operation can be successfully used for establishing a new kind of ethics for social encounters. We look at the social dynamics modulated through so-called “Game” utilized by pick-up artists and abstract this approach to learn interesting new behaviors for activating intersubjective relations.

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  • Conference Talks Content Profiling Using Text Network Analysis

    In this case study we demonstrate how text network analysis can be used to identify the main topical threads of a conference that consists of several talks. We also show how it can be used to identify how closely those talks are related as well as to suggest collaborations between the speakers or relevant thematic threads for the audience.

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  • Using Efficient Search Methods for Content Structuring

    Designing efficient content structures that guide readers through in ways that are efficient, maintaining diversity and narrative of the original.

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