Multi-Label Classification for Opinion Mining in The Presidential Election using TF-IDF with NB And SVM by Ricy Ardiansyah, Herman Yuliansyah, Anton Yudhana

“…Most sentiment analysis studies focus on binary (positive vs. negative) or multiclass (positive, negative, neutral) classification, which limits their ability to capture opinions that express multiple sentiments simultaneously. …”
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Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance by Marie Keinert, Simon Pistrosch, Adria Mallol-Ragolta, Björn W Schuller, Matthias Berking

“…ObjectiveThis study aimed to develop deep learning–based automatic facial emotion recognition (FER) models for binary (positive vs negative) and multiclass emotion classification tasks, assess the models’ performance, and validate them by comparing the models with human observers. …”
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Calibrating multiplex serology for Helicobacter pylori by Emmanuelle A. Dankwa, Martyn Plummer, Daniel Chapman, Rima Jeske, Julia Butt, Michael Hill, Tim Waterboer, Iona Y. Millwood, Ling Yang, Christiana Kartsonaki

“…Immunoblot outputs a binary positive/negative serostatus classification, while multiplex outputs a vector of continuous antigen measurements. …”
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Dynamic Mobile Network Slicing Through Vehicular Traffic Analysis by Alvaro Gabilondo, Zaloa Fernandez, Angel Martin, Mikel Zorrilla, Pablo Angueira, Jon montalban

“…In the context of autonomous driving and smart mobility, the ability to dynamically prioritize and manage sensor data—ranging from high-bandwidth video streams to low-latency text and binary position and coordination messages—plays a pivotal role in ensuring safe and efficient operation. …”
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