Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions
During recent years, social infrastructure has become irreversibly linked to the Internet through its everyday manifestations, such as social networking services (Twitter, Facebook, etc.). Every second, this new tangible information-based reality provides large amounts of data filled with 1) emotion...
Wedi'i Gadw mewn:
| Fformat: | Online |
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| Iaith: | Saesneg |
| Cyhoeddwyd: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Pynciau: | |
| Mynediad Ar-lein: | ONIX_20240906_9783725817153_13 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1869526521482313728 |
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| collection | Directory of Open Access Books |
| description | During recent years, social infrastructure has become irreversibly linked to the Internet through its everyday manifestations, such as social networking services (Twitter, Facebook, etc.). Every second, this new tangible information-based reality provides large amounts of data filled with 1) emotional expressions; 2) people's opinions on various topics; and 3) their reasoning, revealing their decision-making processes. As these three categories are also closely interrelated with each other, they should be studied together to obtain a more robust view on all of the topics involved. This, as never before, provides an opportunity for the development and application of natural language processing methods, in particular those regarding such topics as emotion processing, decision-making, and opinion mining. |
| format | Online |
| id | doab-20.500.12854ir-143651 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1436512024-09-06T07:56:50Z Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions Dybala, Pawel Rzepka, Rafal Ptaszynski, Michal consumer decision-making star rating review comment sentiment analysis personality automatic personality recognition psychometrics psycholinguistic features machine learning personality computing emotion detection pretrained language models model adaptation task-adaptation approach emotion recognition electroencephalogram affective computing genetic algorithms RF KNN ANN social network natural language process opinion tendency recognition graph embedding graph neural network vulgar remark detection vulgar term extraction low-resource language logistic regression recurrent neural network fake news detection dataset social networks MOOC text mining multi-attribute decision-making course improvement deep learning short answer question automatic short answer grading (ASAG) SentenceTransformers dataset balancing GPT fine-tuning decision-making process decision strategy knowledge representation artificial intelligence data clustering n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UX Applied computing During recent years, social infrastructure has become irreversibly linked to the Internet through its everyday manifestations, such as social networking services (Twitter, Facebook, etc.). Every second, this new tangible information-based reality provides large amounts of data filled with 1) emotional expressions; 2) people's opinions on various topics; and 3) their reasoning, revealing their decision-making processes. As these three categories are also closely interrelated with each other, they should be studied together to obtain a more robust view on all of the topics involved. This, as never before, provides an opportunity for the development and application of natural language processing methods, in particular those regarding such topics as emotion processing, decision-making, and opinion mining. 2024-09-06T07:56:43Z 2024-09-06T07:56:43Z 2024 book ONIX_20240906_9783725817153_13 9783725817153 9783725817160 https://directory.doabooks.org/handle/20.500.12854/143651 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9649 https://mdpi.com/books/pdfview/book/9649 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1716-0 10.3390/books978-3-7258-1716-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725817153 9783725817160 238 open access |
| spellingShingle | consumer decision-making star rating review comment sentiment analysis personality automatic personality recognition psychometrics psycholinguistic features machine learning personality computing emotion detection pretrained language models model adaptation task-adaptation approach emotion recognition electroencephalogram affective computing genetic algorithms RF KNN ANN social network natural language process opinion tendency recognition graph embedding graph neural network vulgar remark detection vulgar term extraction low-resource language logistic regression recurrent neural network fake news detection dataset social networks MOOC text mining multi-attribute decision-making course improvement deep learning short answer question automatic short answer grading (ASAG) SentenceTransformers dataset balancing GPT fine-tuning decision-making process decision strategy knowledge representation artificial intelligence data clustering n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UX Applied computing Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions |
| title | Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions |
| title_full | Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions |
| title_fullStr | Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions |
| title_full_unstemmed | Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions |
| title_short | Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions |
| title_sort | application of artificial intelligence methods in processing of emotions decisions and opinions |
| topic | consumer decision-making star rating review comment sentiment analysis personality automatic personality recognition psychometrics psycholinguistic features machine learning personality computing emotion detection pretrained language models model adaptation task-adaptation approach emotion recognition electroencephalogram affective computing genetic algorithms RF KNN ANN social network natural language process opinion tendency recognition graph embedding graph neural network vulgar remark detection vulgar term extraction low-resource language logistic regression recurrent neural network fake news detection dataset social networks MOOC text mining multi-attribute decision-making course improvement deep learning short answer question automatic short answer grading (ASAG) SentenceTransformers dataset balancing GPT fine-tuning decision-making process decision strategy knowledge representation artificial intelligence data clustering n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UX Applied computing |
| topic_facet | consumer decision-making star rating review comment sentiment analysis personality automatic personality recognition psychometrics psycholinguistic features machine learning personality computing emotion detection pretrained language models model adaptation task-adaptation approach emotion recognition electroencephalogram affective computing genetic algorithms RF KNN ANN social network natural language process opinion tendency recognition graph embedding graph neural network vulgar remark detection vulgar term extraction low-resource language logistic regression recurrent neural network fake news detection dataset social networks MOOC text mining multi-attribute decision-making course improvement deep learning short answer question automatic short answer grading (ASAG) SentenceTransformers dataset balancing GPT fine-tuning decision-making process decision strategy knowledge representation artificial intelligence data clustering n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UX Applied computing |
| url | ONIX_20240906_9783725817153_13 |