EmoWei: Emotion-oriented personalized weight management system based on sentiment analysis

Jihyeon Kim; Uran Oh

doi:10.1109/IRI.2019.00060

EmoWei: Emotion-oriented personalized weight management system based on sentiment analysis

Jihyeon Kim, Uran Oh

Department of Computer Science & Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	342-349
Number of pages	8
ISBN (Electronic)	9781728113371
DOIs	https://doi.org/10.1109/IRI.2019.00060
State	Published - Jul 2019
Event	20th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2019 - Los Angeles, United States Duration: 30 Jul 2019 → 1 Aug 2019

Publication series

Name	Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019

Conference

Conference	20th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2019
Country/Territory	United States
City	Los Angeles
Period	30/07/19 → 1/08/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Diet
Emotion
Healthcare
Mental health
Sentiment analysis
Social media
Weight loss
Weight management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IRI.2019.00060

Cite this

Kim, J., & Oh, U. (2019). EmoWei: Emotion-oriented personalized weight management system based on sentiment analysis. In Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019 (pp. 342-349). Article 8843485 (Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI.2019.00060

Kim, Jihyeon ; Oh, Uran. / EmoWei : Emotion-oriented personalized weight management system based on sentiment analysis. Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 342-349 (Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019).

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title = "EmoWei: Emotion-oriented personalized weight management system based on sentiment analysis",

abstract = "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.",

keywords = "Diet, Emotion, Healthcare, Mental health, Sentiment analysis, Social media, Weight loss, Weight management",

author = "Jihyeon Kim and Uran Oh",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 20th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2019 ; Conference date: 30-07-2019 Through 01-08-2019",

year = "2019",

month = jul,

doi = "10.1109/IRI.2019.00060",

language = "English",

series = "Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Kim, J & Oh, U 2019, EmoWei: Emotion-oriented personalized weight management system based on sentiment analysis. in Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019., 8843485, Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019, Institute of Electrical and Electronics Engineers Inc., pp. 342-349, 20th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2019, Los Angeles, United States, 30/07/19. https://doi.org/10.1109/IRI.2019.00060

EmoWei: Emotion-oriented personalized weight management system based on sentiment analysis. / Kim, Jihyeon; Oh, Uran.
Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 342-349 8843485 (Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Oh, Uran

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N2 - 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.

AB - 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.

KW - Diet

KW - Emotion

KW - Healthcare

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KW - Sentiment analysis

KW - Social media

KW - Weight loss

KW - Weight management

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M3 - Conference contribution

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BT - Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019

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Kim J, Oh U. EmoWei: Emotion-oriented personalized weight management system based on sentiment analysis. In Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 342-349. 8843485. (Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019). doi: 10.1109/IRI.2019.00060

EmoWei: Emotion-oriented personalized weight management system based on sentiment analysis

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this