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  • Conference Talks Content Profiling Using Text Network Analysis

    Connected topical clusters - 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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  • SEO Tutorial: Keyword Visualization for Search Engine Optimization

    seo tutorial data visualization search results

    In this article we demonstrate how you can visualize Google search results as a network of interrelated terms to identify the most relevant groups of keywords.

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  • Text Network Visualization for Psychotherapy

    psychotherapy-text-network-visualization-graph-4-creative-leap

    Mental disorders and various self-imposed psychological obstacles often arise because of the lack of choice. Gregory Bateson wrote about the double-bind origin of schizophrenic behavior where “crazy” reaction is simply a way of transcending a limiting situation, when the person sees no other choice. Various psychotherapeutic practices focus on expanding the range of possibilities for the patient, offering more choices than is currently available. Text network visualization can be a useful tool to aid this process. In this case study we are going to demonstrate how it works.

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  • Twitter xRay Using Text Network Analysis

    twitter-newsfeed-filter-text-network-graph

    Text network analysis can be a very useful tool to make sense of Twitter’s ever-expanding newsfeed. It can be used to visualize a user’s feed of tweets or visualize one’s own newsfeed as a network to be able to see what the tweets are about and how they connect. Text network analysis allows to see not only the main terms, but also how they connect, providing the context to the most relevant keywords found on Twitter.

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  • The Divination Network of Tarot

    Tarot is a deck of cards used since the 15th century to play various games as well as for divination purposes. We at Nodus Labs studied the structure of various Tarot decks, treating the cards as the nodes and relations between them as edges, building a graph of relations between the cards that are invariant across various Tarot decks. We discovered that the structure of the resulting graph has a very specific community structure, which makes Tarot a very efficient tool for telling narratives. We are currently working on practical implementations of this study.

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