A review of user interface design for interactive machine learning

JJ Dudley, PO Kristensson - ACM Transactions on Interactive Intelligent …, 2018 - dl.acm.org
Interactive Machine Learning (IML) seeks to complement human perception and intelligence
by tightly integrating these strengths with the computational power and speed of computers …

[HTML][HTML] A review on human–AI interaction in machine learning and insights for medical applications

M Maadi, H Akbarzadeh Khorshidi… - International journal of …, 2021 - mdpi.com
Objective: To provide a human–Artificial Intelligence (AI) interaction review for Machine
Learning (ML) applications to inform how to best combine both human domain expertise and …

Analysis of political discourse on twitter in the context of the 2016 US presidential elections

U Yaqub, SA Chun, V Atluri, J Vaidya - Government Information Quarterly, 2017 - Elsevier
Social media now plays a pivotal role in electoral campaigns. Rapid dissemination of
information through platforms such as Twitter has enabled politicians to broadcast their …

A glimpse on big data analytics in the framework of marketing strategies

P Ducange, R Pecori, P Mezzina - Soft Computing, 2018 - Springer
Mining and analyzing the valuable knowledge hidden behind the amount of data available
in social media is becoming a fundamental prerequisite for any effective and successful …

Location-based sentiment analyses and visualization of Twitter election data

U Yaqub, N Sharma, R Pabreja, SA Chun… - … : Research and Practice, 2020 - dl.acm.org
In this article, we perform sentiment analyses of Twitter location data. We use two case
studies: US presidential elections of 2016 and UK general elections of 2017. For US …

[HTML][HTML] Analysing the sentiments about the education system trough Twitter

ML Mouronte-López, JS Ceres… - Education and Information …, 2023 - Springer
This paper applies Information and Communication Technologies (ICT) as well as data
analysis to gain a better understanding of the existing perception on the education system …

Analyzing Brexit's impact using sentiment analysis and topic modeling on Twitter discussion

SHW Ilyas, ZT Soomro, A Anwar, H Shahzad… - The 21st annual …, 2020 - dl.acm.org
In this paper we evaluate public sentiment and opinion on Brexit during September and
October 2019 by collecting over 16 million user messages from Twitter-world's largest online …

Sentiment based analysis of tweets during the us presidential elections

U Yaqub, SA Chun, V Atluri, J Vaidya - Proceedings of the 18th annual …, 2017 - dl.acm.org
In a relatively short period of time, social media has gained significant importance as a mass
communication and public engagement tool for political and governance purposes. Rapid …

Tweeting during the Covid-19 pandemic: sentiment analysis of Twitter messages by President Trump

U Yaqub - Digital Government: Research and Practice, 2020 - dl.acm.org
In this article, we utilize VADER, a rule-based model, to perform sentiment analysis of tweets
by President Donald Trump during the early spread of the Covid-19 pandemic across the …

Analysis and visualization of subjectivity and polarity of Twitter location data

U Yaqub, N Sharma, R Pabreja, SA Chun… - Proceedings of the 19th …, 2018 - dl.acm.org
Increased use of Twitter by a large number of users has resulted in an unprecedented
growth in the generation of user created data. This data is now being analyzed in various …