Features of mobile apps for people with autism in a post COVID-19 scenario: Current status and recommendations for apps using AI
The new 'normal'defined during the COVID-19 pandemic has forced us to re-assess how
people with special needs thrive in these unprecedented conditions, such as those with …
people with special needs thrive in these unprecedented conditions, such as those with …
Sentiment analysis using machine learning approaches
A Mitra, S Mohanty - Emerging Technologies in Data Mining and …, 2020 - Springer
Sentiment analysis (SA) or opinion mining or emotion AI is an on-going field which refers to
the use of Natural Language Processing (NLP), analysis of text and is utilized to extract …
the use of Natural Language Processing (NLP), analysis of text and is utilized to extract …
Dive in the past: A serious game to promote the underwater cultural heritage of the Mediterranean Sea
M Cozza, S Isabella, P Di Cuia, A Cozza, R Peluso… - Heritage, 2021 - mdpi.com
In the last decades, the popularity of video games has been increasing thanks to their
unique ability to engage their audience and create empathy. Among them, serious games …
unique ability to engage their audience and create empathy. Among them, serious games …
Big data sentiment analysis for brand monitoring in social media streams by cloud computing
F Benedetto, A Tedeschi - … and Ontology Engineering: An Environment of …, 2016 - Springer
The rapid growth of the World Wide Web and social media allows users playing an active
role in the contents' creation process. Users can evaluate the brands' reputation and quality …
role in the contents' creation process. Users can evaluate the brands' reputation and quality …
Investigating mobile applications' requirements evolution through sentiment analysis of users' reviews
NM Rizk, A Ebada, ES Nasr - 2015 11th International Computer …, 2015 - ieeexplore.ieee.org
The mobile applications industry is booming and growing rapidly. Mobile software
companies and applications' stores are in a continuous need for developing new …
companies and applications' stores are in a continuous need for developing new …
Survey on sentiment analysis of user reviews
User's sentiments or opinions stated on any website or app have enormous impact on the
product sellers, customers, and readers. The formless data from the sites or apps is required …
product sellers, customers, and readers. The formless data from the sites or apps is required …
[PDF][PDF] Quality Prediction of Wearable Apps in the Google Play Store.
Play Store reviews play an important role in demonstrating that decisions are made from the
user's perspective, and contain a wealth of knowledge that can be used to understand …
user's perspective, and contain a wealth of knowledge that can be used to understand …
[HTML][HTML] E-SERS: An Enhanced Approach to Trust-Based Ranking of Apps
N Chowdhury, A Maharjan, RR Raje - Software, 2024 - mdpi.com
The number of mobile applications (“Apps”) has grown significantly in recent years. App
Stores rank/recommend Apps based on factors such as average star ratings and the number …
Stores rank/recommend Apps based on factors such as average star ratings and the number …
Analisa Cluster Aplikasi Pada App Store Dengan Menggunakan Metode K-Means
Bagi para pengguna iphone, salah satu tempat untuk mengunduh ratusan ribu aplikasi
android adalah App Store. Aplikasi-aplikasi iOS di bagi menjadi ketegori-ketegori yang unik …
android adalah App Store. Aplikasi-aplikasi iOS di bagi menjadi ketegori-ketegori yang unik …
[PDF][PDF] Identifying sentiment-based contradictions
Identifying Sentiment-based Contradictions Page 1 Identifying Sentiment-based Contradictions
Danny Suarez Vargas, Viviane Moreira Institute of Informatics Universidade Federal do Rio …
Danny Suarez Vargas, Viviane Moreira Institute of Informatics Universidade Federal do Rio …