Text Network Analysis

  • Learning a New Language Using an Online Network Visualization App

    When we learn a new language, context is very important. Text network graphs can be used to help students learn how to use the new words and phrases in context, by making the new connections between the disjointed parts of the graph.

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  • Sentiment Analysis using Text Networks

    How to improve sentiment analysis using text network visualization that helps you see not only the most prominent topics but also the correlations between the responses of customers. Using the example of online surveys and Twitter data.

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  • Generate a Word Cloud with a Context

    Word clouds are used to generate visual summaries of text, however, they have one major deficiency: they completely lose track of the context. As a result, there is a risk of getting false meaningless results and making the wrong assumptions about the underlying data. Text network analysis and visualization  can solve this problem.

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  • Network Analysis of HotJar Customer Feedback

    How to build brand association maps using customer feedback and visualize the main topics as well as the connections between them.

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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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