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2021 ◽  
Vol 48 (7) ◽  
pp. 790-801
Author(s):  
Taehee Jeon ◽  
Changhwan Kim

2021 ◽  
Vol 48 (6) ◽  
pp. 688-695
Author(s):  
Su-Hwan Yoon ◽  
A-Yeong Kim ◽  
Seong-Bae Park

2021 ◽  
Vol 32 ◽  
pp. 275-311
Author(s):  
Kyubum Lee ◽  
◽  
Minseok Oh ◽  
Yupum Kim

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3092
Author(s):  
Hyona Yu ◽  
Jihyun Bae ◽  
Jiyeon Choi ◽  
Hyungseok Kim

As COVID-19 solidifies its presence in everyday life, the interest in mental health is growing, resulting in the necessity of sentiment analysis. A smart mirror is suitable for encouraging mental comfort due to its approachability and scalability as an in-home AI device. From the aspect of natural language processing (NLP), sentiment analysis for Korean lacks an emotion dataset regarding everyday conversation. Its significant differences from English in terms of language structure make implementation challenging. The proposed smart mirror LUX provides Korean text sentiment analysis with the deep learning model, which examines GRU, LSTM, CNN, Bi-LSTM, and Bi-GRU networks. There are four emotional labels: anger, sadness, neutral, and happiness. For each emotion, there are three possible interactive responses: reciting wise sayings, playing music, and sympathizing. The implemented smart mirror also includes more-typical functions, such as a wake-up prompt, a weather reporting function, a calendar, a news reporting function, and a clock.


2021 ◽  
Author(s):  
San-Hee Park ◽  
Kang-Min Kim ◽  
Seonhee Cho ◽  
Jun-Hyung Park ◽  
Hyuntae Park ◽  
...  
Keyword(s):  

2020 ◽  
Vol 11 (6) ◽  
pp. 467-485
Author(s):  
Yonggu Jo ◽  
Changgeun Lee ◽  
Gyuhong Choi ◽  
Gyeongrok Cheon

2020 ◽  
Vol 89 ◽  
pp. 123-168
Author(s):  
Yupum Kim ◽  
Kyubum Lee ◽  
Minseok Oh
Keyword(s):  

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