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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Detalles Bibliográficos
Formato:	Online
Lenguaje:	inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Materias:	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
Acceso en línea:	ONIX_20240906_9783725818235_26
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AI Empowered Sentiment Analysis

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