Results 261 to 270 of about 395,369 (291)

Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model. [PDF]

Sci Rep
Alzubaidi U.
europepmc   +1 more source

Methodologies and their comparison in complex compound aspect-based sentiment analysis: A survey

Faiz Ghifari Haznitrama, Hojin Choi, Chin‐Wan Chung   +2 more
openalex   +1 more source

Editorial: Methodology for emotion-aware education based on artificial intelligence. [PDF]

Front Artif Intell
Roig-Vila R, Cazorla M, Lallé S.
europepmc   +1 more source

Analyzing student mental health with RoBERTa-Large: a sentiment analysis and data analytics approach. [PDF]

Front Big Data
Khan HU, Naz A, Alarfaj FK, Almusallam N.   +3 more
europepmc   +1 more source

Multimodal prototypical network for interpretable sentiment classification. [PDF]

Sci Rep
Song C, Chao K, Jia B, Shen Y.
europepmc   +1 more source

Analyzing Sleep Behavior Using BERT-BiLSTM and Fine-Tuned GPT-2 Sentiment Classification: Comparison Study.

JMIR Med Inform
Deng Y, van der Meer J, Tzovara A, Schmidt M, Bassetti C, Denecke K.   +5 more
europepmc   +1 more source

Text-in-Image Enhanced Self-Supervised Alignment Model for Aspect-Based Multimodal Sentiment Analysis on Social Media. [PDF]

Sensors (Basel)
Zhao X, Wang Y, Zhong Z.
europepmc   +1 more source

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BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

North American Chapter of the Association for Computational Linguistics, 2019
Question-answering plays an important role in e-commerce as it allows potential customers to actively seek crucial information about products or services to help their purchase decision making.
Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
semanticscholar   +1 more source

Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis

IEEE Transactions on Affective Computing, 2023
Aspect-based sentiment analysis (ABSA) means to identify fine-grained aspects, opinions, and sentiment polarities. Recent ABSA research focuses on utilizing multi-task learning (MTL) to achieve less computational costs and better performance.
Kai He, Rui Mao, Tieliang Gong, Chen Li, E. Cambria   +4 more
semanticscholar   +1 more source

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

North American Chapter of the Association for Computational Linguistics, 2019
Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).
Chi Sun, Luyao Huang, Xipeng Qiu
semanticscholar   +1 more source