Publications (133)
Evaluating Compositional Approaches for Focus and Sentiment Analysis
Olga Kellert, Muhammad Imran, Nicholas Hill Matlis +2
This paper summarizes the results of evaluating a compositional approach for Focus Analysis (FA) in Linguistics and Sentiment Analysis (SA) in Natural Language Processing (NLP). Wh…
Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content
Muhammad Zubair Asghar, Fazli Subhan, Muhammad Imran +5
Emotion detection from the text is an important and challenging problem in text analytics. The opinion-mining experts are focusing on the development of emotion detection applicati…
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels
Muhammad Imran, Umair Qazi, Ferda Ofli
The widespread usage of social networks during mass convergence events, such as health emergencies and disease outbreaks, provides instant access to citizen-generated data that car…
Unmanned Aerial Vehicle for Internet of Everything: Opportunities and Challenges
Yalin Liu, Hong-Ning Dai, Qubeijian Wang +2
The recent advances in information and communication technology (ICT) have further extended Internet of Things (IoT) from the sole "things" aspect to the omnipotent role of "intell…
Migration of CMSWEB Cluster at CERN to Kubernetes
Muhammad Imran, Valentin Kuznetsov, Lina Marcella +3
The CMS experiment heavily relies on the CMSWEB cluster to host critical services for its operational needs. The cluster is deployed on virtual machines (VMs) from the CERN OpenSta…
Evaluating Robustness of LLMs on Crisis-Related Microblogs across Events, Information Types, and Linguistic Features
Muhammad Imran, Abdul Wahab Ziaullah, Kai Chen +1
The widespread use of microblogging platforms like X (formerly Twitter) during disasters provides real-time information to governments and response authorities. However, the data f…