Lexicon-Based Sentiment Analysis-VADER Sentiment Analysis for Food Apps

With the development of mobile technology, food delivery and restaurant applications are becoming increasingly popular. These apps allow users to order food, read reviews and share their own opinions. Analysing the sentiment expressed in user reviews can provide valuable insights into customer satisfaction and preferences. This study conducted sentiment analysis on a large dataset of user reviews for popular food apps. Food apps have emerged as an essential tools for culinary exploration in the age of digital eating, allowing users to discover, order and voice their culinary experiences. This paper focuses on the use of the sentiment analysis tool Valence Aware Dictionary and Sentiment Reasoner (VADER) in the context of culinary applications. Emotion in social media discourse. The discussion clarifies the unique difficulties presented by food-focused material and highlights positive and negative feedback. This article also discusses its advantages, disadvantages and specific challenges posed by food-related content. It also provides information on using VADER sentiment analysis to effectively extract sentiment scores from user reviews and comments on food apps.