Title: Intervention-Based Clustering Dates: 2016 – 2020 Researchers: Igor Kulev and Pearl Pu Keywords: activities of daily living, machine learning, timeseries analysis, clustering Abstract: While an increase in physical activity levels has been shown to be the most effective and important intervention strategy to improve health in elderly populations, it is notoriously difficult to increase […]
Questionnaire to evaluate the performance of four different chatbots. Run this demo.
We present a chatbot that generates responses to people’s queries. The model is trained using 35,429 pair of conversations from the Big Bang Theory. Run this demo.
We present a tool that enables users to browse hundreds of tweets related to both food and mood. By placing these tweets on a wheel, the user can visualize how moods are correlated with a certain food. Run this demo.
We present a tool that allows people to interactively review their food journeys, and to explore the interesting correlations between their nutrition intake and emotions. Run this demo.
Title: Dictionaries Contributors: Onur Yürüten and Pearl Pu Keywords: food, mood, emotion recognition, GALC in Chinese, emojis, social media analysis, twitter, hashtag Description: Here we provide downloads for a dictionary of food words, the GALC in Chinese, a collection of emojis that have been mapped to the Geneva Emotion Wheel. Links: Main Page
Title: Food and Mood-Related Tweets Contributors: Onur Yürüten and Pearl Pu Keywords: food, mood, emotion recognition, social media analysis, twitter, hashtag, emojis Description: In the course of our research for understanding the relations between food and mood, we curated several datasets of social media posts. Links: Main Page
Title: GEW-based Emotion Lexicons Contributors: Valentina Sintsova and Pearl Pu Keywords: emotion recognition, social media analysis, distant supervision, twitter, OlympLex, GALC-R, PMI-hash, Dystemo, EMO-hash, SREC, sports related emotion corpus Description: In the course of our research for advancing emotion recognition in tweets, we produced several emotion lexicons, collected emotional data, and annotated some data with […]
Title: Curated Datasets of ADL Contributors: Onur Yürüten and Pearl Pu Keywords: Activities of daily living, activity recognition, data mining, timeseries analysis, statistical analysis, behavior recommenders Description: In the course of our research for advancing recommender systems for healthy lifestyles, we curated or obtained several datasets concerning activities of daily living, including physical activity and […]
Title: Behavior Recommender Systems Dates: 2013-2017 Researchers: Onur Yuruten and Pearl Pu Keywords: Activities of daily living, activity recognition, data mining, time series analysis, statistical analysis, behavior recommenders Abstract: Sedentary lifestyles influence the onset of many serious health problems. Healthy behavior change is an arduous task, but behavior recommenders can help their users achieve it. This novel […]