Name: Recipe Reviews And User Feedback Dataset
Creator: Kaggle
License: https://creativecommons.org/licenses/by/4.0/

About this Dataset

Recipe Reviews And User Feedback Dataset

Overview

The "Recipe Reviews and User Feedback Dataset" is a comprehensive repository of data encompassing various aspects of recipe reviews and user interactions. It includes essential information such as the recipe name, its ranking on the top 100 recipes list, a unique recipe code, and user details like user ID, user name, and an internal user reputation score. Each review comment is uniquely identified with a comment ID and comes with additional attributes, including the creation timestamp, reply count, and the number of up-votes and down-votes received. Users' sentiment towards recipes is quantified on a 1 to 5 star rating scale, with a score of 0 denoting an absence of rating. This dataset is a valuable resource for researchers and data scientists, facilitating endeavors in sentiment analysis, user behavior analysis, recipe recommendation systems, and more. It offers a window into the dynamics of recipe reviews and user feedback within the culinary website domain.

Introductory Paper

Textual Taste Buds: A Profound Exploration of Emotion Identification in Food Recipes through BERT and AttBiRNN Models
By Amir Ali, Stanislaw Matuszewski, Jacek Czupyt, Usman Ahmad. 2023
Published in International Journal of Novel Research and Development

Tables

Recipe Reviews And User Feedback Dataset

@kaggle.joebeachcapital_recipe_reviews_and_user_feedback_dataset.recipe_reviews_and_user_feedback_dataset

2.8 MB
18182 rows
15 columns


CREATE TABLE recipe_reviews_and_user_feedback_dataset (
  "unnamed_0" BIGINT,
  "recipe_number" BIGINT,
  "recipe_code" BIGINT,
  "recipe_name" VARCHAR,
  "comment_id" VARCHAR,
  "user_id" VARCHAR,
  "user_name" VARCHAR,
  "user_reputation" BIGINT,
  "created_at" BIGINT,
  "reply_count" BIGINT,
  "thumbs_up" BIGINT,
  "thumbs_down" BIGINT,
  "stars" BIGINT,
  "best_score" BIGINT,
  "text" VARCHAR
);