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10.3390/s21093092 http://scihub22266oqcxt.onion/10.3390/s21093092 33946700!8125726!33946700     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sensors+(Basel) 2021 ; 21 (9): ä Nephropedia Template TP {{tp|p=33946700|t=2021. LUX: Smart Mirror with Sentiment Analysis for Mental Comfort |pdf=|usr=}}{{33946700}} gab.com Text LUX: Smart Mirror with Sentiment Analysis for Mental Comfort JO: Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33946700 #FOAvip 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. Twit Text FOAVip LUX: Smart Mirror with Sentiment Analysis for Mental Comfort ????Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33946700 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33946700 #FOAvip English Wikipedia <ref>{{Cite pmid|33946700}}</ref> LUX: Smart Mirror with Sentiment Analysis for Mental Comfort #MMPMID33946700 Yu H; Bae J; Choi J; Kim H Sensors (Basel) 2021[Apr]; 21 (9): ä PMID33946700show ga 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. |*COVID-19[MESH] |Emotions[MESH] |Humans[MESH] |Language[MESH] |Natural Language Processing[MESH]LUX: Smart Mirror with Sentiment Analysis for Mental Comfort (epmc).pdf DeepDyve Pubget Overpricing