Výsledky vyhľadávania - "Emotion extraction"

Mining app reviews for user feedback analysis in requirements engineering: a project report

Autori: Motger de la Encarnación, Joaquim Oriol Hilari, Marc Tiessler Aguirre, Max a ďalší

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Predmety: App review mining, Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Natural language processing, Requirements engineering, Feature extraction, User feedback analysis, Large language models, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural, Competition analysis, Emotion extraction

Popis súboru: application/pdf

Prístupová URL adresa: https://hdl.handle.net/2117/432916

EmotionGesture: Audio-Driven Diverse Emotional Co-Speech 3D Gesture Generation

Autori: Xingqun Qi Chen Liu Lincheng Li a ďalší

Zdroj: IEEE Transactions on Multimedia. 26:10420-10430

Predmety: FOS: Computer and information sciences, Avatars, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computational modeling, Emotion Extraction, 3D Postures, Correlation, Multimedia (cs.MM), Diverse Co-speech Gesture, Artificial Intelligence (cs.AI), Solid modeling, Task analysis, Feature extraction, Three-dimensional displays, Temporal Smooth, Computer Science - Multimedia

Prístupová URL adresa: http://arxiv.org/abs/2305.18891

Human Micro-Expression: A Novel Social Behavioral Biometric for Person Identification

Autori: Zaman Wahid Asm Hossain Bari Fahim Anzum a ďalší

Zdroj: IEEE Access, Vol 11, Pp 57481-57493 (2023)

Predmety: person identification, emotion extraction, Electrical engineering. Electronics. Nuclear engineering, natural language processing, human micro-expression, emotion progression signals, Biometric security, TK1-9971

Prístupová URL adresa: https://doaj.org/article/bf3e863446574bc99c9dc7cf5887a8df

Improving the emotion‐based classification by exploiting the fuzzy entropy in FCM clustering

Autori: Barbara Cardone Ferdinando Di Martino Sabrina Senatore

Zdroj: International Journal of Intelligent Systems. 36:6944-6967

Predmety: Fuzzy clustering, Emotion Extraction, Sentiment Analysis, Plutchik's wheel of emotions, Fuzzy clustering, Fuzzy Entropy, Sentiment Analysis, 0202 electrical engineering, electronic engineering, information engineering, Plutchik's wheel of emotions, Emotion Extraction, 02 engineering and technology, Fuzzy Entropy, emotion extraction, fuzzy clustering, fuzzy entropy, Plutchik's wheel of emotions, sentiment analysis

Popis súboru: application/pdf

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/int.22575
http://hdl.handle.net/11588/854117
https://onlinelibrary.wiley.com/doi/10.1002/int.22575
https://dblp.uni-trier.de/db/journals/ijis/ijis36.html#CardoneMS21
https://onlinelibrary.wiley.com/doi/abs/10.1002/int.22575
https://hdl.handle.net/11386/4767575
https://doi.org/10.1002/int.22575
https://hdl.handle.net/11588/854117
https://doi.org/10.1002/int.22575

A lightweight clustering–based approach to discover different emotional shades from social message streams

Autori: di martino ferdinando senatore sabrina sessa salvatore

Zdroj: International Journal of Intelligent Systems. 34:1505-1523

Predmety: FCM, EFCM, sentiment analysis, sentic computing, emotion extraction, FCM, emotion extraction, sentic computing, sentiment analysis, EFCM, 0202 electrical engineering, electronic engineering, information engineering, Fuzzy C-Means, Sentic Computing, Sentiment Analysis, 02 engineering and technology

Prístupová URL adresa: http://hdl.handle.net/11588/739566
https://dblp.uni-trier.de/db/journals/ijis/ijis34.html#MartinoSS19
https://onlinelibrary.wiley.com/doi/abs/10.1002/int.22105
https://doi.org/10.1002/int.22105
https://hdl.handle.net/11386/4721385
https://onlinelibrary.wiley.com/doi/abs/10.1002/int.22105
https://doi.org/10.1002/int.22105
https://hdl.handle.net/11588/739566
https://doi.org/10.1002/int.22105

Management of digital contents in multiple displays

Autori: Henriques, Bruno Filipe Maia

Predmety: Digital signage, Computer vision, Data extraction, Face detection, Face recognition, Emotion extraction

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10773/31296

MindSpaces: Art-driven Adaptive Outdoors and Indoors Design: Art-driven Adaptive Outdoors and Indoors Design

Autori: Alvanitopoulos, Petros Sotiris Diplaris Gelder, Beatrice De a ďalší

Zdroj: Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 9 (2019)

Predmety: Text Analysis, 03 medical and health sciences, 0302 clinical medicine, MindSpaces, 11. Sustainability, Textual analysis, 3D reconstruction, Information technology, Visual Behavior Analysis, T58.5-58.64, Virtual Reality (VR), Style transfer, Emotion extraction

Prístupová URL adresa: https://doaj.org/article/68cbaa8afd2542f692f0a3b394f250a6
http://hdl.handle.net/10525/4632
https://zenodo.org/record/3518904
https://doi.org/10.5281/zenodo.3518903

Toxic Fake News Detection and Classification for Combating COVID-19 Misinformation

Autori: Wani, Mudasir Ahmad ELAffendi, Mohammad Shakil, Kashish Ara a ďalší

Predmety: Bidirectional encoder representations from transformers (BERT), emotion extraction, fake news, machine learning (ML), natural language processing (NLP), toxicity analysis

Dostupnosť: https://doi.org/10.1109/tcss.2023.3276764
https://napier-repository.worktribe.com/file/3138216/1/Toxic%20Fake%20News%20Detection%20and%20Classification%20for%20Combating%20COVID-19%20Misinformation%20%28accepted%20version%29

Web-based similarity for emotion recognition in web objects

Autori: BIONDI, GIULIO FRANZONI, Valentina Li, Yuanxi a ďalší

Zdroj: Proceedings of the 9th International Conference on Utility and Cloud Computing. :327-332

Predmety: Social and Information Networks (cs.SI), FOS: Computer and information sciences, 2. Zero hunger, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Affective data, Emotion extraction, Emotion recognition, Information retrieval, Semantic similarity measures, Hardware and Architecture, Computer Networks and Communications, affectivecomputing, semantic models, 0202 electrical engineering, electronic engineering, information engineering, Affective data, Emotion extraction, Emotion recognition, Information retrieval, Semantic similarity measures, Hardware and Architecture, Computer Networks and Communications, Computer Science - Social and Information Networks, 02 engineering and technology, Computation and Language (cs.CL)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/1612.05734
http://arxiv.org/abs/1612.05734
http://ui.adsabs.harvard.edu/abs/2016arXiv161205734F/abstract
https://arxiv.org/pdf/1612.05734
https://dblp.uni-trier.de/db/journals/corr/corr1612.html#FranzoniBML16
https://arxiv.org/abs/1612.05734
https://core.ac.uk/display/80315209
http://ieeexplore.ieee.org/document/7881653/
https://dl.acm.org/doi/pdf/10.1145/2996890.3007883
https://dblp.uni-trier.de/db/conf/ucc/ucc2016.html#BiondiFLM16
https://ieeexplore.ieee.org/document/7881653/

Emotion Extraction from Text Using Fuzzy-Deep Neural Network

Autori: Zaremarjal, A.Y. Yiltas-Kaplan, D. Lazemi, S. a ďalší

Prispievatelia: Zaremarjal, A.Y. Yiltas-Kaplan, D. Lazemi, S. a ďalší

Zdroj: Lecture Notes in Networks and Systems ISBN: 9783030855765

Predmety: Bi-LSTM, Natural language processing, Word embedding, Deep learning, Emotion extraction, Fuzzy Neural Network

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-030-85577-2_39

Цифровой анализ эмоционального компонента поэтического текста

Autori: Sheremetyeva, S.O. Babina, O.I.

Predmety: УДК 81'33, экстракция эмоций из текста, Ural locus, анализ авторских эмоций, поэтический корпус, text-based emotion extraction, analysis of author's emotions, УДК 004, цифровизация, digitalization, уральский локус, poetic corpus

Popis súboru: application/pdf

Prístupová URL adresa: http://dspace.susu.ru/xmlui/handle/00001.74/46492

MindSpaces: Art-driven adaptive outdoors and indoors design

Autori: Petros Alvanitopoulos Sotiris Diplaris Beatrice de Gelder a ďalší

Predmety: MindSpaces, Emotion extraction, Textual analysis, Visual Behavior Analysis

Relation: https://zenodo.org/records/3518904; oai:zenodo.org:3518904; https://doi.org/10.5281/zenodo.3518904

Dostupnosť: https://doi.org/10.5281/zenodo.3518904
https://zenodo.org/records/3518904

Schadenfreude: Malicious Joy in Social Media Interactions

Autori: Christian Cecconi Isabella Poggi Francesca D’Errico

Zdroj: Frontiers in Psychology, Vol 11 (2020)

Predmety: schadenfreude, emotion classification, lexicometric analysis, social media, adaptive functions of emotions, emotion extraction, Psychology, BF1-990

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpsyg.2020.558282/full; https://doaj.org/toc/1664-1078

Prístupová URL adresa: https://doaj.org/article/650f758d28be45d588e3e767794199b5

Application of the Emotion Estimation Method Based on Classification of Expression Type in Laban Feature Values to Design Creation / ラバン特徴量の表出タイプ分類に基づく感情推定手法のデザイン制作への適用

Autori: Masashi Sugimoto Michiya Yamamoto Noriko Nagata a ďalší

Zdroj: ヒューマンインタフェース学会論文誌 / The Transactions of Human Interface Society. 2021, 23(3):359

MindSpaces: Art-driven Adaptive Outdoors and Indoors Design

Autori: Tellios, Anastasios Fraguada, Luis Sprengel, Holger a ďalší

Predmety: Virtual Reality (VR), Visual Behavior Analysis, 3D reconstruction, Emotion extraction, Style transfer, Text Analysis

Relation: https://hdl.handle.net/10525/4632

Dostupnosť: https://hdl.handle.net/10525/4632

Painting-Emotion Matching Technology Learning System through Repetition

Autori: Taemin Lee Sanghyun Seo

Zdroj: Sustainability, Vol 11, Iss 16, p 4507 (2019)

Predmety: education system for matching with emotion and painting, emotion extraction from paintings, painting classification based on their emotion, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/11/16/4507; https://doaj.org/toc/2071-1050; https://doaj.org/article/150dd482afb0447fa39237c2f7684ff9

Dostupnosť: https://doi.org/10.3390/su11164507
https://doaj.org/article/150dd482afb0447fa39237c2f7684ff9

Text to Emotion Extraction Using Supervised Machine Learning Techniques

Autori: Muhammad Anwarul Azim Mahmudul Hasan Bhuiyan

Predmety: ffective computing, text to emotion, emotion extraction, Machine learning, twitter data analysis

Relation: https://zenodo.org/records/3991095; oai:zenodo.org:3991095; https://doi.org/10.12928/TELKOMNIKA.v16i3.8387

Dostupnosť: https://doi.org/10.12928/TELKOMNIKA.v16i3.8387
https://zenodo.org/records/3991095

Emotion Recognition from Speech using Prosodic and Linguistic Features

Autori: Mahwish Pervaiz Tamim Ahmed Khan

Predmety: Emotion Extraction, Prosodic Features, Temporal Features, Dynamic Time Wrapping, Segmentation

Relation: http://dx.doi.org/10.14569/IJACSA.2016.070813

Dostupnosť: https://doi.org/10.14569/IJACSA.2016.070813

A Cross-Case Analysis of Possible Facial Emotion Extraction Methods that Could Be Used in Second Life - Pre Experimental Work

Autori: Kamberi, Shahnaz

Zdroj: Journal For Virtual Worlds Research; Vol. 5 No. 3 (2012): Managerial and Commercial Applications ; 1941-8477

Predmety: emotion extraction technology, facial animation, virtual worlds, Second Life, information accountability, facial expression/expressiveness, facial emotion extraction

Popis súboru: application/pdf

Relation: https://jvwr-ojs-utexas.tdl.org/jvwr/article/view/6270/6303

Dostupnosť: https://jvwr-ojs-utexas.tdl.org/jvwr/article/view/6270
https://doi.org/10.4101/jvwr.v5i3.6270

Management of digital contents in multiple displays ; Gestão de conteúdos digitais em múltiplos monitores

Autori: Henriques, Bruno Filipe Maia Neves, António José Ribeiro

Prispievatelia: Henriques, Bruno Filipe Maia Neves, António José Ribeiro

Predmety: Digital signage, Computer vision, Data extraction, Face detection, Face recognition, Emotion extraction

Relation: http://hdl.handle.net/10773/31296

Dostupnosť: http://hdl.handle.net/10773/31296