• Posted by | November 1, 2024

    Mind Map AI Generator

    In this article, we will present an AI mind map generator — InfraNodus — that can create a knowledge graph from any text. Unlike other tools, it doesn’t start from a central idea, because that’s not how our mind works. Rather, it maps out all the ideas present within a text as a network graph, so the resulting mind map will be more rhizomatic, helping you see the patterns rather than presenting hierarchies (which often do not even exist).

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  • Posted by | April 7, 2022

    Sentiment Analysis: AFINN vs Bert AI Algorithms (using the Twitter and Amazon examples)

    A comparison of text network analysis, dictionary-based AFINN, and machine-learning based BERT AI models for sentiment analysis of customer reviews.

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  • Posted by | April 6, 2022

    Discover EU Grant Opportunities using Network Analysis

    In this case study, we will demonstrate how you can use text network analysis to analyze EU grant opportunities. We will demonstrate how you can use the graph to identify the most relevant topics in the existing grant proposals. We will also show how you can use network visualization to identify the structural gaps within.

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  • Posted by | June 20, 2020

    Open Call: Network Analysis Case Studies

    If you are interested in networks, graphs, data science and text analysis we invite you to take part in this open call.

    We invite you to write an article with a case study using InfraNodus network visualization and analysis tool for any task or research practice.

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  • Posted by | January 10, 2020

    Network Graph as a Musical Instrument

    Music can be visualized as a graph. While there are many ways to do that, one of the possibilities is to represent the notes (and octaves) as the nodes and their co-occurrences as the connections between them. This representation allows us to reveal patterns in our composition and to use the powerful graph theory algorithms to uncover interesting insights about the structure of the music we’re playing.

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