Keith April Araño is a PhD student at the Department of Management, Economics and Industrial Engineering. Her research aims to investigate how multimodal data- sensor, text, audio, and visual can be exploited to aid the tasks of sentiment and emotion detection through the application of different AI techniques such as machine learning, deep learning, and natural language processing. She was a visiting PhD student at the Center for Collective Intelligence of MIT’s Sloan School of Management where she worked in a research project on mood-controlled intelligent system for a happier office space- a collaboration between MIT and the Data Analytics & AI/IOT Applications team of Signify Research ...
Master of Science: Industrial Management, Universidad Politécnica de Madrid Politecnico di Milano Heriot-Watt University.
Bachelor of Science: Industrial Engineering, University of the Philippines.
Research interests: Her primary research area is Multimodal Sentiment Analysis (MSA). In her PhD research, she aims to investigate how multimodal data- text, audio, and visual can be exploited to aid the tasks of sentiment and emotion detection through the application of different Artificial Intelligence (AI) techniques such as Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). A few foreseen applications are in marketing (product/service recommenders), healthcare (assisted living), education (adaptive learning), and virtual assistants. She is also interested in analysing sensor data from wearable devices for various sentiment analysis tasks such as understanding which factors trigger certain emotions.
Research projects: Combining Different Artificial Intelligence Techniques for Sentiment and Emotion Detection
Supervisor: Prof. Carlo Vercellis