Sentiment analysis of customer reviews of food delivery services using deep learning and explainable artificial intelligence: Systematic review

A Adak, B Pradhan, N Shukla - Foods, 2022 - mdpi.com
During the COVID-19 crisis, customers' preference in having food delivered to their doorstep
instead of waiting in a restaurant has propelled the growth of food delivery services (FDSs) …

Impacts of Customer Feedback for Online-Offline Shopping using Machine Learning

P Sharma, R Kumar, M Gupta - 2021 2nd International …, 2021 - ieeexplore.ieee.org
" Voice of the customer" is an extraordinary source for getting customer reviews and
provides huge awareness into customer's preferences towards a product or service. In an e …

Sentiment analysis of customer feedbacks in online food ordering services

B Nguyen, VH Nguyen, T Ho - … : International journal of the Society for …, 2021 - hrcak.srce.hr
Background: E-commerce websites have been established expressly as useful online
communication platforms, which is rather significant. Through them, users can easily perform …

A Survey of the Applications of Text Mining for the Food Domain

S Xiong, W Tian, H Si, G Zhang, L Shi - Algorithms, 2024 - mdpi.com
In the food domain, text mining techniques are extensively employed to derive valuable
insights from large volumes of text data, facilitating applications such as aiding food recalls …

Analysis and recognition of food safety problems in online ordering based on reviews text mining

Y Huang, X Wang, R Wang, J Min - … and Mobile Computing, 2022 - Wiley Online Library
In the era of big data, the online ordering form of “Internet+ traditional catering” has adapted
to the needs of consumers with a fast pace of life and personalized consumption mode and …

Exploring Satisfaction Level of Customers in Restaurants by Using Latent Dirichlet Allocation (LDA) Algorithm

S Karmakar, N Sivakumar… - … Conference on Inventive …, 2023 - ieeexplore.ieee.org
Social media has become an essential means for communicating the review/opinions of
people around the world due to the rapid expansion and availability of the internet. Reviews …

[PDF][PDF] Topic modeling on WhatsApp user reviews using latent Dirichlet allocation

I Kharisudin, H Masri'an - Scientific Journal of Informatics, 2022 - academia.edu
Purpose: Topic modeling is a practical algorithm for identifying topics in text data. This study
aims to find issues of WhatsApp user reviews using Latent Dirichlet Allocation (LDA) and …

[PDF][PDF] Customer Analytics Using Multicriteria and Machine Learning: A Case Study on Foody Application Vietnam

LTN Anh, HTX Chi, PH Tram - Proceedings of the 2nd Indian …, 2022 - ieomsociety.org
Online platforms allow customers leave their opinions after using products or services. Data
collected from customers is enormous. How to organize and transform the data to useful …

[图书][B] Analyzing Customer Reviews on Food Delivery Services Using Deep Learning and Explainable Artificial Intelligence (XAI)

A Adak - 2022 - search.proquest.com
Social media reviews and feedback are getting increasingly important for customers
ordering food from a food delivery services in the last few years. This trend has become …

Topic Modeling Using Latent Dirichlet Allocation Method Based On Child Anecdotal Record Data

R Fernandis, D Swanjaya… - … of Science and …, 2024 - ieeexplore.ieee.org
Kindergarten education has a very important role in shaping the foundation of child
development. For parents, see reports on the achievement of children's development at …