Monitoring web QoE based on analysis of client-side measures and user behavior

Abdelwahed, Nawres; Letaïfa, Asma Ben; Asmi, Sadok El

doi:10.1007/s11042-022-13427-5

Multimed Tools Appl

2022

DOI: 10.1007/s11042-022-13427-5

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Monitoring web QoE based on analysis of client-side measures and user behavior

Nawres Abdelwahed

Asma Ben Letaïfa

Sadok El Asmi

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Cited by 3 publications

References 61 publications

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Predicting sentiment analysis for Web users with a deep learning approach

Abdelwahed,

Letaifa,

Ksouri

2023

2023 IEEE Tenth International Conference on Communications and Networking (ComNet)

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In the last decade Sentiment analysis has been an interesting research topic in natural language processing (NLP) and data mining fields. We have noticed that deep neural network (DNN) models are always applied in sentiment analysis researches to obtain good results. There are many neural architectures which are applied for sentiment analysis. Among these architectures, Long Short-Term Memory (LSTM) models are the most used ones. In this contribution, we collected our dataset from our developed web application. The obtained dataset contains different types of features; Quality of Service (QoS) metrics, Web Quality of Experience (QoE) metrics, user engagement metrics, comments to videos that are included in the application, and the Mean Opinion Score (MOS) expressed by users. After that, we trained our dataset on our proposed model LSTM-CNN-RNN to predict the MOS. As a conclusion, we obtained a good accuracy and a low loss rate.

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Predicting sentiment analysis for Web users with a deep learning approach

Abdelwahed,

Letaifa,

Ksouri

2023

2023 IEEE Tenth International Conference on Communications and Networking (ComNet)

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A Theoretical Framework for Provider’s QoE Assessment using Individual and Objective QoE Monitoring

Hoßfeld,

Pérez

2024

2024 16th International Conference on Quality of Multimedia Experience (QoMEX)

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Analysis of Top Internet Websites Load Times

Garcia Murça,

Perdices,

López de Vergara

2023

2023 IEEE Virtual Conference on Communications (VCC)

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Monitoring web QoE based on analysis of client-side measures and user behavior

Cited by 3 publications

References 61 publications

Predicting sentiment analysis for Web users with a deep learning approach

Predicting sentiment analysis for Web users with a deep learning approach

A Theoretical Framework for Provider’s QoE Assessment using Individual and Objective QoE Monitoring

Analysis of Top Internet Websites Load Times

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