EmoWei : Emotion-Oriented Personalized Weight Management System Based on Sentiment Analysis

被引:2
|
作者
Kim, Jihyeon [1 ]
Oh, Uran [1 ]
机构
[1] Ewha Womans Univ, Dept Comp Sci & Engn, Seoul, South Korea
关键词
Weight loss; healthcare; weight management; diet; emotion; sentiment analysis; social media; mental health; PSYCHOSOCIAL STRESS; SOCIAL NETWORK; WORLD CUP; OBESITY; DIET; EXERCISE; TWEET; MASS;
D O I
10.1109/IRI.2019.00060
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A number of online communities and commercial apps exist to assist people with weight management. However, these systems are limited to logging and tracking meals or workouts without considering one's emotional state, which is known to have a strong impact on health (e.g., stress-related eating). To confirm the feasibility of monitoring emotion from personal logs such as online posts, we first conducted a Recurrent Neural Network (RNN) based sentiment analysis on 17,735 weight loss-related tweets and 200 posts from an online weight management community called FatSecret in comparisons to general tweets. The results suggest that we can infer one's emotion based on their written text and their progress in managing weight. Based on the findings, we propose EmoWei, a new weight management system that integrates users' emotions to provide personalized assistance to achieve their weight loss goals with minimum stress.
引用
收藏
页码:342 / 349
页数:8
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