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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...

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Furkejuvvon:
Materiálatiipa: Online
Giella:eaŋgalasgiella
Almmustuhtton: MDPI - Multidisciplinary Digital Publishing Institute 2024
Fáttát:
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
Liŋkkat:ONIX_20240906_9783725817153_13
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Čoahkkáigeassu: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.

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