What is InfraNodus?
InfraNodus is a visual GPT-4-powered text analysis tool that identifies the primary concepts and gaps between them in survey replies, market conversation, scientific research, and personal views. It enables you to examine numerous forms of text, including articles, books, surveys, and tweets, by portraying them as a text network.
How Does InfraNodus Work?
InfraNodus visualizes any text as a network. To adopt a social science paradigm, words are nodes, and their co-occurrences are links. This representation allows us to discover word clusters, highlight the most influential pieces, and expose gaps in a speech.
We then use a variety of AI-based techniques to produce insights for every debate. More information on how it works is provided below, along with a link to a peer-reviewed paper outlining our technique.
This method may be used for research, creative writing, marketing feedback studies, SEO, news analysis, and so on.
Add any text (with speech-to-text support), notes, or excerpts from your Gephi graph, Evernote data, Twitter feed, or Google search results.
The text is turned into a graph in which the words are the nodes and the co-occurrences are the connections between them, allowing you to see all of your disconnected bits and pieces of data as a whole.
The network will then be constructed using the words or data you entered. The most influential words in the graph (nodes with the highest betweenness centrality) are highlighted, while words (nodes) that occur together more frequently are organized into thematic clusters and colored differently.
The graph displays not just the primary subjects and most significant phrases, but also the relationships between them, making it a far superior visual summary tool than typical tag clouds.
Natural language processing and text analysis methods are used to convert unstructured text to structured data.
InfraNodus will detect structural gaps in the network: areas of the textual data graph that may be linked but are not (blind spots).
It will present several methods for bridging these gaps in order to gain insight and develop new ideas.
You may also export your data as a CSV file (with InfraNodus insights) for additional analysis or as training data for neural network applications.
InfraNodus: Other Use Cases
The easiest approach to utilize InfraNodus is to discover structural gaps in texts or other related data so that you can determine what is missing and how to fix it. Some areas of application are:
- Scientific research (get insights from your writing).
- Search Engine Optimization / SEO (discovering untapped keywords).
- Visual Google Search (an excellent technique to gain an overview of any topic).
- Network analysis (algorithms for detecting communities and rating nodes).
- Mind Map Creation (live text-to-graph input).
- Visual Arts and Music (use graphs to mold your thoughts and perform music).