# Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/natural-language-processing-and-machine-learning-approaches-for-food/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Guanlan Hu,Mavra Ahmed,Mary R. L’Abbé |
| Citations | 61 |
| DOI | 10.1016/j.ajcnut.2022.11.022 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4312161061 |
| PMID | 36872019 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Mavra Ahmed](https://scholariq.org/researchers/mavra-ahmed/)

## Paper journal

- [American Journal of Clinical Nutrition](https://scholariq.org/journals/american-journal-of-clinical-nutrition/)

## Paper primary topic

- [Nutritional Studies and Diet](https://scholariq.org/topics/nutritional-studies-and-diet/)

## Paper topics

- [Nutritional Studies and Diet](https://scholariq.org/topics/nutritional-studies-and-diet/)
- [Consumer Attitudes and Food Labeling](https://scholariq.org/topics/consumer-attitudes-and-food-labeling/)
- [Nutrition, Genetics, and Disease](https://scholariq.org/topics/nutrition-genetics-and-disease/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.