You can use InfraNodus to compare texts and to find what's missing in a discourse.
1. First, you need to define your datasets: what you will be comparing. It could be two different documents or your own text in relation to the general discourse. In our case we will compare a text on a certain subject ("feedback loops") in relation to the general discourse that exists online if we do a Google search on this subject.
2. Add your text to InfraNodus (using the text import or file import apps).
3. Your text will be visualized as a graph
4. Now add another dataset you want to compare it with. You can simply go to the Apps > Google Search App (Menu) or use the + Import Search field in the editor panel (bottom left).
5. Once you added this new graph, click on the Statements Menu > Compare Contexts button. There are two options: to see what they have in common and to see the differences. Choose the button that shows the differences.
6. Then click the top left menu and choose the graph you want to compare it to (the previous one):
7. Click that graph / text and you will load a new graph that combines the both.
8. Then go to the top statements menu and choose Diff: Additional — Current to see a graph that only shows the difference between the new graph that you added and the one you were comparing it to: what exists in Google search results that does not exist in your original text:
as you can see in our case it's
positive negative climate change nature
Which could be interesting to add into the original text to make it more relevant to the discourse that already exists on the subject.
9. We can also reverse the comparison, so we can see what exists in our original text that is missing in Google search results on the subject (how is our text original). To do that, click the Text Control > Scales button (left menu):
10. We will then see the graphs the other way round:
11. Click on the Analytics > Insight to see the most relevant missing terms, the structural gaps (new ideas), and the latent narrative shifters: