Results 181 to 190 of about 571,134 (341)
Cooperative Sentiment Agents for Multimodal Sentiment Analysis
In this paper, we propose a new Multimodal Representation Learning (MRL) method for Multimodal Sentiment Analysis (MSA), which facilitates the adaptive interaction between modalities through Cooperative Sentiment Agents, named Co-SA. Co-SA comprises two critical components: the Sentiment Agents Establishment (SAE) phase and the Sentiment Agents ...
Wang, Shanmin+3 more
openaire +2 more sources
Targeted regulation of pyroptosis to modulate the immune landscape is a novel design strategy for cancer immunotherapy and anti‐inflammatory treatment. Pyroptosis, as a double‐edged sword, underscores the importance of optimizing the design strategy of functional materials and appropriately activating pyroptosis for the effective treatment of diseases.
Luyao Tian+5 more
wiley +1 more source
Understanding Online Consumer Review Opinions with Sentiment Analysis using Machine Learning
Christopher C. Yang+3 more
openalex +2 more sources
PDCD11 overexpression highly correlates to poor prognosis in p53‐mutant breast and colon cancers. Through interaction with C‐MYC in the nucleoplasm, PDCD11 hinders C‐MYC‐induced SKP2 from binding to the C‐MYC MB2 domain for ubiquitination, thereby stabilizing C‐MYC to drive tumor progression.
Li Ding+12 more
wiley +1 more source
The Wisdom of Bookies? Sentiment Analysis Versus. the NFL Point Spread
Yancheng Hong, Steven Skiena
openalex +2 more sources
This work covers ovonic threshold switches (OTSs), from basics to developments and future outlook. It explores OTS devices incorporating various chalcogens and describes how their characteristics vary by material. Engineering strategies, including elemental doping, electrode modifications, post‐treatment, and multilayer designs, are discussed ...
Sanghyun Ban+5 more
wiley +1 more source
Sentiment Polarity Analysis based multi-dictionary
Jian Jiao, Yanquan Zhou
openalex +1 more source
Oxygen Doping in Ferroelectric Wurtzite‐type Al0.73Sc0.27N: Improved Leakage and Polarity Control
Left: Polarization hysteresis (P‐E) characteristics of 200 nm wurtzite‐type Al0.73Sc0.27N without (ref. Nmix = 0) and with O‐doping (Nmix = 8 and 15), showing a clear drop of leakage current with O‐doping. Right: Piezoresponse for microscopy showing the as‐deposited polarization reversal from nitrogen (Nmix = 0) to metal polarity (Nmix = 15) via mixed ...
Md Redwanul Islam+11 more
wiley +1 more source
Opinion Mining and Sentiment Analysis - An Assessment of Peoples' Belief: A Survey [PDF]
S Padmaja, Sameen Fatima S
openalex +1 more source