Ingredients Analysis Quality Evaluation - August 2023: Difference between revisions

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Evaluation of the quality of Ingredients Extraction and Analysis so that we can measure the improvements.

Ingredients parsing and recognition

For each product, the ingredients list is parsed to separate each ingredient. Ingredients that we can match to our multilingual ingredients taxonomy as marked as "known", others as "unknown".

There are different reasons an ingredient can be marked as unknown:

  • The input ingredient list is incorrect (misspellings etc.)
  • The ingredients list contains other things than ingredients and we have not been able to split it at the right place.
  • We have not been able to parse a particular sentence structure or formatting (e.g. "a drop of delicious honey with a shower of powder sugar")
  • The ingredient is not yet present in our taxonomy (or not with the right synonym or in the right language)

In the table below,

  • the first column of numbers corresponds to the number of unique ingredients across all products.
  • And the second column of number corresponds to the number of occurrences of those ingredients. e.g. if a specific ingredient appears in 5 products, it is counted 5 times.


JP - Japanese

2023-07-30 2022-07-31
All products:
2822 原材料:

Type	Unique tags	Occurrences
known	726 (25.73%)	7191 (69.84%)
unknown	2096 (74.27%)	3105 (30.16%)
all	2822 (100.00%)	10296 (100.00%)

Top 10k most scanned products:
16 原材料:

Type	Unique tags	Occurrences
known	15 (93.75%)	15 (93.75%)
unknown	1 (6.25%)	1 (6.25%)
all	16 (100.00%)	16 (100.00%)

HR - Croatian

2023-07-30 2022-07-31
All products:
5700 sastojci:

Type	Unique tags	Occurrences
known	1304 (22.88%)	25105 (83.02%)
unknown	4396 (77.12%)	5134 (16.98%)
all	5700 (100.00%)	30239 (100.00%)

Top 10k most scanned products:
45 sastojci:

Type	Unique tags	Occurrences
known	36 (80.00%)	46 (83.64%)
unknown	9 (20.00%)	9 (16.36%)
all	45 (100.00%)	55 (100.00%)

Observations