Textual Emotion Detection In Healthcare

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Textual emotion detection in health: Advances and applications

(Just Now) People also askWhat is textual emotion detection (Ted)?Textual Emotion Detection (TED) is a rapidly growing area in Natural Language Processing (NLP) that aims to detect emotions expressed through text. In this paper, we provide a review of the latest research and development in TED as applied in health and medicine.Textual emotion detection in health: Advances and applicationssciencedirect.comHow to detect emotion from textual sources?Emotion detection from textual sources can be done utilizing notions of Natural Language Processing. Word embeddings are extensively utilized for several NLP tasks, like machine translation, sentiment analysis, and question answering.Deep learning approach to text analysis for human emotion detection degruyter.comWhat is text emotion detection?Text emotion detection aims to discover the text’s emotions by analyzing the writer’s input text. This is based on the supposition that if anyone is happy, they will use encouraging words. These words may infer the underlying negative feelings of a person who is stressed, depressed, or frustrated.Deep learning approach to text analysis for human emotion detection degruyter.comHow can sentiment and emotion detection analysis help health professionals?Analysis outcomes help health professionals to decide when patients need help or need medication. In conclusion, health professionals and community service volunteers or caregivers can use the results of the sentiment and emotion detection analysis to help with wellbeing when they need it.Sentiment Analysis and Emotion Detection with Healthcare - Springerlink.springer.comFeedbackScienceDirecthttps://www.sciencedirect.com/science/article/pii/S1532046422002635Textual emotion detection in health: Advances and applicationsWEBTextual Emotion Detection (TED) is a rapidly growing area in Natural Language Processing (NLP) that aims to detect emotions expressed through text. In this paper, we provide a review of the latest research and development in TED as applied in …

https://www.sciencedirect.com/science/article/pii/S1532046422002635#:~:text=This%20review%20found%20that%20TED%20in%20health%20and,of%20social%20media%2C%20healthcare%20services%2C%20and%20counseling%20centers.

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Emotion recognition and artificial intelligence: A systematic review

(7 days ago) WEBTherefore, emotion recognition is crucial in the application areas such as marketing, human–robot interaction, healthcare, mental health monitoring, and security …

https://www.sciencedirect.com/science/article/pii/S1566253523003354

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A review on sentiment analysis and emotion detection from text

(3 days ago) WEBIn sentiment analysis, polarity is the primary concern, whereas, in emotion detection, the emotional or psychological state or mood is detected. Sentiment analysis …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402961/

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Sentiment Analysis and Emotion Detection with Healthcare

(2 days ago) WEBOne of the most promising applications of data science and AI in the healthcare field is sentiment analysis and emotion detection. Sentiment analysis is the …

https://link.springer.com/chapter/10.1007/978-981-19-1076-0_11

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Textual emotion detection in health: Advances and applications

(2 days ago) WEBTextual emotion detection in health: Advances and applications @article{Saffar2022TextualED, title={Textual emotion detection in health: Advances …

https://www.semanticscholar.org/paper/Textual-emotion-detection-in-health%3A-Advances-and-Saffar-Mann/ff155f100c86eeb1b335dd7a74de352cdbadc0cc

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Automatic emotion recognition in healthcare data using …

(3 days ago) WEBThe literature shows that the text is the fundamental source of emotion detection because there is a variety of textual data covering social media content …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725656/

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Natural language processing applied to mental illness detection: a

(Just Now) WEBMental illness is highly prevalent nowadays, constituting a major cause of distress in people’s life with impact on society’s health and well-being. Mental illness is …

https://www.nature.com/articles/s41746-022-00589-7

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Textual emotion detection in health: Advances and applications

(6 days ago) WEBTextual Emotion Detection (TED) is a rapidly growing area in Natural Language Processing (NLP) that aims to detect emotions expressed through text. In this paper, …

https://dro.deakin.edu.au/articles/journal_contribution/Textual_emotion_detection_in_health_Advances_and_applications/21839514

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A review on sentiment analysis and emotion detection from text

(Just Now) WEB3.1 Datasets for sentiment analysis and emotion detection. Table 2 lists numerous sentiment and emotion analysis datasets that researchers have used to …

https://link.springer.com/article/10.1007/s13278-021-00776-6

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Text‐based emotion detection: Advances, challenges, …

(9 days ago) WEB56 rows · EMN together with SA performed even better with extracting text semantics and detecting emotion categories with a precision of 65.8%, a recall of 63.5%, and anF1 score of 64.6%. Their …

https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.12189

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Development and application of emotion recognition technology …

(4 days ago) WEBHumans can describe emotions through text, language, or facial expressions and even reflect internal emotions through physiological signals. Emotional …

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10894494/

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Deep learning approach to text analysis for human emotion …

(7 days ago) WEBEmotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be articulated in several means that can be seen, like …

https://www.degruyter.com/document/doi/10.1515/jisys-2022-0001/html

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Textual emotion detection utilizing a transfer learning approach

(Just Now) WEBThere have been many attempts at facial emotion recognition [9, 10] or audio-visual emotion recognition [11, 12], but there has been less focus on detecting emotions from textual data, as it is a relatively new area in NLP.Some work has been done using traditional machine learning techniques [1, 9, 13, 14]).A very important aspect of …

https://link.springer.com/article/10.1007/s11227-023-05168-5

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Detection of emotion by text analysis using machine learning

(8 days ago) WEBAccording to the World Health Organization, it is estimated that by 2050 the elderly will represent 30% of the population in Europe Thus, classification methods of …

https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1190326/full

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Text-Based Emotion Detection: Advances, Challenges and …

(8 days ago) WEBText-based emotion detection: Advances, challenges, and opportunities Francisca Adoma Acheampong 1Chen Wenyu Henry Nunoo-Mensah2 1ComputationalIntelligenceLab, …

https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/eng2.12189?download=true

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Textual emotion detection in health: Advances and applications

(2 days ago) WEBTextual Emotion Detection (TED) is a rapidly growing area in Natural Language Processing (NLP) that aims to detect emotions expressed through text. In …

https://www.researchgate.net/publication/366296876_Textual_emotion_detection_in_health_Advances_and_applications

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[2107.05989] Emotion Recognition for Healthcare Surveillance …

(2 days ago) WEBEmotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey. Marwan Dhuheir, Abdullatif Albaseer, Emna Baccour, Aiman …

https://arxiv.org/abs/2107.05989

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A Survey of Textual Emotion Recognition and Its Challenges

(4 days ago) WEBTextual language is the most natural carrier of human emotion. In natural language processing, textual emotion recognition (TER) has become an important …

https://ieeexplore.ieee.org/document/9330790

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Applied Sciences Free Full-Text Enhancing Multimodal Emotion …

(1 days ago) WEBEmotion detection holds significant importance in facilitating human–computer interaction, enhancing the depth of engagement. By integrating this …

https://www.mdpi.com/2076-3417/14/10/4199

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A Three-stage multimodal emotion recognition network based on …

(9 days ago) WEBTo address these problems, this paper proposes a three-stage multimodal emotion recognition network based on text low-rank fusion by extracting unimodal …

https://dl.acm.org/doi/10.1007/s00530-024-01345-5

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Text2emotion: Python package to detect emotions from textual data

(8 days ago) WEBText2emotion works, in the same manner, to extract the emotions from the text. Let’s conclude this, Text2Emotion is the python package that will assist you to pull …

https://towardsdatascience.com/text2emotion-python-package-to-detect-emotions-from-textual-data-b2e7b7ce1153

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Emotions unveiled: detecting COVID-19 fake news on social media …

(Just Now) WEBThe elicited emotions extracted from social media during a crisis such as the COVID-19 pandemic could not only be an important variable for detecting fake news …

https://www.nature.com/articles/s41599-024-03083-5

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Textual emotion detection in health: Advances and applications

(2 days ago) WEBTextual Emotion Detection (TED) is a rapidly growing area in Natural Language Processing (NLP) that aims to detect emotions expressed through text. In this paper, …

https://dl.acm.org/doi/abs/10.1016/j.jbi.2022.104258

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Building a better sarcasm detector ScienceDaily

(2 days ago) WEBEmotion recognition based on speech can be applied to AI-assisted health care. Sarcasm recognition technology that applies a multimodal approach is insightful …

https://www.sciencedaily.com/releases/2024/05/240516122628.htm

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text-emotion-detection · GitHub Topics · GitHub

(8 days ago) WEBPull requests. The Text-Based-Emotion-Detector Web App is an easy-to-use tool for analyzing emotions in text. Whether it's an article, a comment, or any other …

https://github.com/topics/text-emotion-detection

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The big five factors as differential predictors of self-regulation

(5 days ago) WEBThe aim of this research was to analyze whether the personality factors included in the Big Five model differentially predict the self-regulation and affective …

https://bmcpsychology.biomedcentral.com/articles/10.1186/s40359-024-01768-9

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Detection of novel influenza viruses through community and …

(1 days ago) WEBBackground: Novel influenza viruses pose a potential pandemic risk and rapid detection of infections in humans is critical to characterizing the virus and facilitating the …

https://www.medrxiv.org/content/10.1101/2024.02.02.24302173v2

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Textual emotion detection in health: Advances and applications.

(2 days ago) WEBTextual Emotion Detection (TED) is a rapidly growing area in Natural Language Processing (NLP) that aims to detect emotions expressed through text. In …

https://europepmc.org/article/MED/36528329

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OpenAI launches GPT-4o, flaunting ability of model to detect user emotions

(4 days ago) WEBGPT-4o, claims OpenAI, is faster and more adept at handling text, audio and video – and even detecting user emotions, a major source of controversy in AI research. By Greg Noone. OpenAI has launched a new LLM named GPT-4o and a desktop version of ChatGPT for macOS. The new model, said its creators, is faster and more efficient at …

https://techmonitor.ai/technology/ai-and-automation/openai-launches-gpt-4o

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