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Application of Artificial Intelligence Methods in Processing of Emotions, Decisions and Opinions
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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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Keywords
- Affective Computing
- ANN
- artificial intelligence
- automatic personality recognition
- automatic short answer grading (ASAG)
- consumer decision-making
- course improvement
- data clustering
- dataset
- dataset balancing
- decision strategy
- decision-making process
- deep learning
- Detection
- Electroencephalogram
- emotion detection
- emotion recognition
- fake news
- fine-tuning
- Genetic algorithms
- GPT
- graph embedding
- graph neural network
- kNN
- Knowledge Representation
- logistic regression
- low-resource language
- Machine learning
- model adaptation
- MOOC
- multi-attribute decision-making
- n/a
- natural language process
- opinion tendency recognition
- Personality
- personality computing
- pretrained language models
- psycholinguistic features
- psychometrics
- recurrent neural network
- review comment
- RF
- SentenceTransformers
- sentiment analysis
- short answer question
- social network
- Social networks
- star rating
- task-adaptation approach
- Text Mining
- thema EDItEUR::U Computing and Information Technology
- thema EDItEUR::U Computing and Information Technology::UX Applied computing
- vulgar remark detection
- vulgar term extraction
Links
DOI: 10.3390/books978-3-7258-1716-0Editions