• How to Generate Mind Maps from Text with GPT3 AI

    Most mind mapping tools have a cold start problem, which can be overcome using a GPT3 AI text generator. We can then visualize the ideas as a text network and use the insights from graph theory to analyze the relations and reveal the main topics and structural gaps within

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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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  • 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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