Articles with "emotion detection" as a keyword



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Automatic speech emotion detection using hybrid of gray wolf optimizer and naïve Bayes

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Published in 2021 at "International Journal of Speech Technology"

DOI: 10.1007/s10772-021-09870-8

Abstract: Over the past decade, automatic speech emotion detection has been a great challenge in the human–computer interaction area. Generally, individuals express their feelings explicitly or implicitly through words, facial expressions, gestures, or writing. Different datasets… read more here.

Keywords: speech emotion; automatic speech; speech; emotion detection ... See more keywords
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Document-level emotion detection using graph-based margin regularization

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.01.059

Abstract: Abstract Sentiment analysis aims to automatically detect the underlying attitudes that users express. For the documents with complex unstructured data, such as reviews, emojis and surveys, it is usually hard to precisely identify the real… read more here.

Keywords: emotion; detection using; emotion detection; regularization ... See more keywords
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Multistep Deep System for Multimodal Emotion Detection With Invalid Data in the Internet of Things

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3029288

Abstract: The Internet of Things (IoT) technologies such as interconnection and edge computing help emotion recognition to be applied in healthcare, smart education, etc. However, the acquisition and transmission processes may have some situations, such as… read more here.

Keywords: system; internet things; invalid data; emotion detection ... See more keywords
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I-GCN: Incremental Graph Convolution Network for Conversation Emotion Detection

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Published in 2022 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2021.3118881

Abstract: Sentiment analysis and emotion detection in conversation are becoming hot topics in regard to several applications. With the development of the social robot, social network, and intelligent voice assistant, emotion detection is attracting more attention… read more here.

Keywords: information; emotion detection; conversation; gcn ... See more keywords
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Deploying Machine Learning Techniques for Human Emotion Detection

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/8032673

Abstract: Emotion recognition is one of the trending research fields. It is involved in several applications. Its most interesting applications include robotic vision and interactive robotic communication. Human emotions can be detected using both speech and… read more here.

Keywords: machine learning; human emotion; emotion; emotion detection ... See more keywords
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Emotion detection on Myanmar texts

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Published in 2021 at "International Journal of Electrical and Computer Engineering"

DOI: 10.11591/ijece.v11i2.pp1570-1577

Abstract: At this age, World Wide Web is growing faster. Many companies have built and launch social media networks. People so widely use social media to get the latest news, to express their emotions or moods,… read more here.

Keywords: emotion detection; myanmar texts; emotion; detection myanmar ... See more keywords
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A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues

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Published in 2021 at "Traitement du Signal"

DOI: 10.18280/ts.380430

Abstract: Emotion classification based on physiological signals has become a hot topic in the past decade. Many studies have attempted to classify emotions using various techniques, to discover human emotions accurately. This study focused on listing… read more here.

Keywords: review emotion; eeg signals; emotion detection; human emotions ... See more keywords
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Depressive Emotion Detection and Behavior Analysis of Men Who Have Sex With Men via Social Media

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Published in 2020 at "Frontiers in Psychiatry"

DOI: 10.3389/fpsyt.2020.00830

Abstract: Background A large amount of evidence has indicated an association between depression and HIV risk among men who have sex with men (MSM), but traditional questionnaire-based methods are limited in timely monitoring depressive emotions with… read more here.

Keywords: emotion detection; depressive emotion; msm depressive; depressive emotions ... See more keywords
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A Fuzzy-Based Emotion Detection Method to Classify the Relevance of Pleasant/Unpleasant Emotions Posted by Users in Reviews of Service Facilities

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Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13105893

Abstract: Many sentiment analysis methods have been proposed recently to evaluate, through the Web, the perceptions of users and their satisfaction with the use of products and services; these approaches have been applied in various fields… read more here.

Keywords: emotion detection; users reviews; detection method; pleasant unpleasant ... See more keywords