Fine foods example data

Source

https://snap.stanford.edu/data/web-FineFoods.html

Value

training_data,testing_data

tibbles

Details

These data are from Amazon, who describe it as "This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plaintext review."

A subset of the data are contained here and are split into a training and test set. The training set sampled 10 products and retained all of their individual reviews. Since the reviews within these products are correlated, we recommend resampling the data using a leave-one-product-out approach. The test set sampled 500 products that were not included in the training set and selected a single review at random for each.

There is a column for the product, a column for the text of the review, and a factor column for a class variable. The outcome is whether the reviewer gave the product a 5-star rating or not.

Examples

data(small_fine_foods) str(training_data)
#> tibble [4,000 × 3] (S3: tbl_df/tbl/data.frame) #> $ product: chr [1:4000] "B000J0LSBG" "B000EYLDYE" "B0026LIO9A" "B00473P8SK" ... #> $ review : chr [1:4000] "this stuff is not stuffing its not good at all save your money" "I absolutely LOVE this dried fruit. LOVE IT. Whenever I have a craving for something sweet, I can usually rip"| __truncated__ "GREAT DEAL, CONVENIENT TOO. Much cheaper than WalMart and I don't need to lug it home, it appears on my doorst"| __truncated__ "Great flavor, we go through a ton of this sauce! I discovered it in a local grocery store and then was happy to"| __truncated__ ... #> $ score : Factor w/ 2 levels "great","other": 2 1 1 1 1 1 2 1 1 1 ...