metadata

license: mit
tags:
  - infinite-dataset-hub
  - synthetic

FoodReviewSentiment

tags: sentiment analysis, food, social media

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'FoodReviewSentiment' dataset is a collection of textual food review data from various social media platforms. Each review is categorized based on sentiment towards the food item and the relevance of the content to food reviews. Labels include 'Positive', 'Negative', 'Delivery Problem', and 'Unrelated'. The dataset can be used for sentiment analysis and understanding public opinion on food products.

CSV Content Preview:

Title,Review,Label
"The Chicken Pasta at Bella Italia is divine, truly satisfying!","This place never disappoints. A must-try for any pasta lover!","Positive"
"Disappointed with the pizza from Pizzarossa. Burnt crust and bland toppings.","Never going back to Pizzarossa after this terrible experience.","Negative"
"Ordered sushi from Sakura Delights, and it took forever to arrive!","My patience was tested as I waited over an hour for my order.","Delivery Problem"
"Checking out the latest smartphones on TechTalk forum.", "The new Galaxy phone has some impressive features, but I'm still on the fence about it.","Unrelated"
"Had the most amazing salad at Green Garden Café, the freshness was unmatched!","I always get my best meals here. Definitely coming back for more salads!","Positive"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'social media images related to food review. labels are: positive, negative, delivery problem, unrelevent to food review':