What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets.

ABSTRACT: With the rise of social media platforms, sharing reviews has become a social norm in today's modern society. People check customer views on social networking sites about different fast food restaurants and food items before visiting the restaurants and ordering food. Restaurants can compete to better the quality of their offered items or services by carefully analyzing the feedback provided by customers. People tend to visit restaurants with a higher number of positive reviews. Accordingly, manually collecting feedback from customers for every product is a labor-intensive process; the same is true for sentiment analysis. To overcome this, we use sentiment analysis, which automatically extracts meaningful information from the data. Existing studies predominantly focus on machine learning mo

SUBMITTER: Mujahid M 

PROVIDER: S-EPMC10280231 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature