• 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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  • Visualization of CSV / Excel Survey Datasets: Comfort Food Choices

    Surveys usually come in CSV / Excel formats and network visualization techniques can be very helpful to make more sense of the data. In this short tutorial we will demonstrate how network analysis and visualization can be used to discover crucial relationships in the survey data.

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  • Word Cloud Generator Based on Text Network Visualization

    Word clouds provide a quick and visually appealing way to showcase textual content and they have been in use since the 90s. However, they lack precision, interactivity, and context. We developed a methodology and a word visualization tool that can take word clouds to the next level, making them much more useful not only for visualization, but also for research and educational purposes.

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