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The Nova classification (Portuguese: nova classificação, 'new classification') is a framework for grouping edible substances based on the extent and purpose of food processing applied to them. Researchers at the University of São Paulo, Brazil, proposed the system in 2009.
The analysis highlights History, Science and Products as prominent areas in the source structure around Nova classification.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Nova classification shows recurring relationship patterns in the source. For example, Nova classification → Brazil, Brazil's, Carlos Augusto Monteiro, Employing, His, In, Jean-Claude Moubarac, Monteiro, Monteiro's, Montréal, NOVA, Portuguese, Recent, The, The Nova, This, Uma, Université Another extracted example is Nova classification → Assigning, At, Both, By, Databases, Nova, Open Food Facts, The, The Nova, This. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
foods nova food ingredients ultra-processed processed classification culinary group health products used sugar processing groups unprocessed minimally substances salt dietary
TTTA extracted 70 structured relationships around Nova classification. Examples in this analysis include Open Food Facts provide Nova classifications for commercial products based on analysis of their categories → instance of → Databases and the removal of unwanted parts → instance of → which are unprocessed foods modified through industrial methods. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Open Food Facts provide Nova classifications for commercial products based on analysis of their categories | instance of | Databases | 0.80 | text |
| ingredients | instance of | Databases | 0.80 | text |
| the removal of unwanted parts | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| crushing | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| drying | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| fractioning | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| grinding | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| pasteurization | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| non-alcoholic fermentation | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| freezing | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| and other preservation techniques that maintain the food's integrity | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
| do not introduce salt | instance of | which are unprocessed foods modified through industrial methods | 0.80 | text |
The concept neighborhoods around Nova classification bring nearby vocabulary together. In this analysis, examples include Nova, Food and Groups. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Nova classification, one of the stronger structural bridges in this analysis connects Nova classification with Nova food processing groups. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Nova classification to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Science & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Nova classification · EN edition · Analysis: TopicsToTalkAbout