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AI Empowered Sentiment Analysis

With the popularity of the social media, a large amount of user-generated content, such as comments, is emerging, which is crucial for all industries. Recently, the development of deep learning and computing power have made it possible to handle complex data. However, there are still some including...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2024
Soggetti:
artificial intelligence
natural language processing
controllable text generation
review generation
pre-trained language model
fine-grained sentiment
word embeddings
BERT
sentiment analysis
convolutional neural network
sentiment lexicon
autoregressive model
customer reviews
deep learning
emotion analysis
optimized classification
review text for online courses
attention mechanism
gating mechanism
ASTE
biaffine attention
structure-biased BERT
GCN
linguistic feature
aspect-level sentiment analysis
graph attention network
feature extract
scene generation
story visualization
GAN
story understanding
language learning
personality traits
text analytics
machine learning
MBTI
COVID-19
social media
Reddit
emotions
resilience
multimodal
emotion recognition
feature extraction
feature-level fusion
speaker recognition
font recommendation system
content emotion analysis
emotion calculation models
usability evaluation
emotion-based font recommendation
multimodality
triplet extraction
Graph Neural Networks
sentiment cue extraction
self-supervised learning
interpretable machine learning
aspect-based sentiment analysis
aspect sentiment quad prediction
aspect-category-opinion-sentiment
chain of thought
prompt
thema EDItEUR::U Computing and Information Technology
thema EDItEUR::U Computing and Information Technology::UY Computer science
Accesso online:ONIX_20240906_9783725818235_26
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ONIX_20240906_9783725818235_26

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