• Posted by | April 3, 2026

    Landscape Reading Model — Text Network Representation

    How do we perceive a text when we read it? The answer to this question can help us understand how attention functions and identify various strategies to enhance our writing. Additionally, it can inspire new methods of reading that increase engagement and accessibility. In this article, we’re going to demonstrate how the landscape reading model can be represented using text networks and how this representation helps generate new ideas and insights in InfraNodus.

    Read More
  • Posted by | July 15, 2024

    Amazon Kindle Highlights: Generating Ideas with Knowledge Graph AI

    From review and memorization to generating new ideas from Amazon Kindle highlights using AI-enhanced knowledge graph.

    Read More
  • Posted by | May 21, 2024

    AI Chat and Summary Generator for YouTube Videos

    How to represent YouTube video content as a knowledge graph, retrieve the main ideas, find the gaps, and use AI to find the most relevant parts of the content.

    Read More
  • Posted by | May 26, 2022

    How to Generate Mind Maps from Text with 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

    Read More
  • Posted by | February 25, 2020

    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.

    Read More
  • Page 1 of 7
Try InfraNodus — Text Network Visualization Tool Learn More