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A novel hybrid deep learning model for detecting and classifying non-functional requirements of mobile apps issues
AE Yahya, A Gharbi, WMS Yafooz, A Al-Dhaqm - Electronics, 2023 - mdpi.com
As a result of the speed and availability of the Internet, mobile devices and apps are in
widespread usage throughout the world. Thus, they can be seen in the hands of nearly …
widespread usage throughout the world. Thus, they can be seen in the hands of nearly …
SEEING IS BELIEVING? HOW INCLUDING A VIDEO IN FAKE NEWS INFLUENCES USERS'REPORTING OF FAKE NEWS TO SOCIAL MEDIA PLATFORMS.
Social media platforms, such as Facebook, Instagram, and Twitter, are combating the spread
of fake news by develo** systems that allow their users to report fake news. However, it …
of fake news by develo** systems that allow their users to report fake news. However, it …
[HTML][HTML] A data-driven approach for video game playability analysis based on players' reviews
Playability is a key concept in game studies defining the overall quality of video games.
Although its definition and frameworks are widely studied, methods to analyze and evaluate …
Although its definition and frameworks are widely studied, methods to analyze and evaluate …
Explainable artificial intelligence approach towards classifying educational android app reviews using deep learning
Mobile application developers rely largely on user reviews for identifying issues in mobile
applications and meeting the users' expectations. User reviews are unstructured …
applications and meeting the users' expectations. User reviews are unstructured …
A sentiment-statistical approach for identifying problematic mobile app updates based on user reviews
Mobile applications (apps) on IOS and Android devices are mostly maintained and updated
via Apple Appstore and Google Play, respectively, where the users are allowed to provide …
via Apple Appstore and Google Play, respectively, where the users are allowed to provide …
Sentiment analysis in google play store: Algerian reviews case
In mobile application stores, users very often rely on the opinions of others before
downloading an application and its reputation could depend entirely on them. This makes …
downloading an application and its reputation could depend entirely on them. This makes …
A comparison of the use of several different resources on lexicon based Indonesian sentiment analysis on app review dataset
The mobile application (or usually known as mobile app) market has grown drastically over
the last 15 years. Based on this fact, it is important for app developer to keep their …
the last 15 years. Based on this fact, it is important for app developer to keep their …
Caveats in eliciting mobile app requirements
Factors such as app stores or platform choices heavily affect functional and non-functional
mobile app requirements. We surveyed 45 companies and interviewed ten experts to …
mobile app requirements. We surveyed 45 companies and interviewed ten experts to …
[PDF][PDF] Sentiment classification with deep neural networks
Y Zhou - Master's Thesis. Tampere University. Finland, 2019 - trepo.tuni.fi
Sentiment classification is an important task in Natural Language Processing (NLP) area.
Deep neural networks become the mainstream method to perform the text sentiment …
Deep neural networks become the mainstream method to perform the text sentiment …
Data-Driven Analysis for Monitoring Software Evolution
Z Zhang, K Stefanidis - European Conference on Advances in Databases …, 2024 - Springer
In the rapidly evolving world of software development, maintaining user satisfaction and
adapting to changing needs is critical to the success of software products. This tutorial paper …
adapting to changing needs is critical to the success of software products. This tutorial paper …