Nodus Labs has created several state-of-the-art algorithms for text network analysis and visualization that offer novel ways of doing text mining, visualization, topic modeling, discourse and narrative structure analysis, reading, processing, and understanding textual data. Our approaches are used by many researchers, SEO specialists, public bodies, and marketing activists worldwide (see citations on Google scholar) as well as in some data-processing applications (via APIs and custom-designed applications).

You can get network science insights into your texts using InfraNodus or the browser extension or the Obsidian plugin that was developed based on this technology.

We also offer the software we developed, along with the underlying algorithms, for licensing in other tools. Some of the insights that you can obtain are:

  • Narrative Coherence — analyze the network structure of your narrative and identify the level of coherence in your text.
     
  • Bias Detection — detect the level of bias in text.
     
  • Discourse Structure — discourse’s robustness in relation to external challenges
     
  • Infiltration Susceptibility — discourse’s susceptibility to external influence and propagation of different ideas
     
  • Topic Modeling — identify main topics and how are they connected
     
  • Text Comparison & Categorization — compare and categorize different texts in a corpus
     
  • Polysingularity Score — text’s diversity and plurality of perspectives

 

 



 

Case Studies: Text Mining Using Text Network Analysis

Here are some examples of our work, so you can see what’s possible.

The Nodus Labs YouTube channel with some real-life case studies

Using network visualization to increase choice available to patients in psychotherapy – can also be used for conducting interviews;

How to use network graphs to generate new ideas – a case study;

How to do SEO and create content that people need but that doesn’t exist yet – tutorial for search engine optimization techniques using InfraNodus tool;

Improve understanding of groups through sentiment analysis – how to use networks to better understand interests of a group;

Learning about a new field of inquiry using associative thinking in graphs – how to use graphs to enhance your research strategies

How to use network graphs to generate new ideas – a case study;

Feel free to contact us or simply try out our free open-source InfraNodus tool (for texts, research excerpts, ideas, notes and Tweets.

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