Results 101 to 110 of about 317,663 (308)
LISA: Language-Independent Method for Aspect-Based Sentiment Analysis
Understanding “what others think” is one of the most eminent pieces of knowledge in the decision-making process required in a wide spectrum of applications. The procedure of obtaining knowledge from each aspect (property) of users' opinions
Mohammadreza Shams +2 more
doaj +1 more source
Charge carrier concentration and mobility in TiO2, ZrO2, and HfO2 powder films are experimentally mapped as a function of temperature. The results uncover polaron‐mediated transport regimes and field‐activated conduction, enabling the design of oxide‐based electronic and energy devices with thermally tunable functionality.
Beatriz Moura Gomes +3 more
wiley +1 more source
Various Approaches to Aspect-based Sentiment Analysis
The problem of aspect-based sentiment analysis deals with classifying sentiments (negative, neutral, positive) for a given aspect in a sentence. A traditional sentiment classification task involves treating the entire sentence as a text document and classifying sentiments based on all the words.
Bhoi, Amlaan, Joshi, Sandeep
openaire +2 more sources
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng +5 more
wiley +1 more source
Active learning in annotating micro-blogs dealing with e-reputation
Elections unleash strong political views on Twitter, but what do people really think about politics? Opinion and trend mining on micro blogs dealing with politics has recently attracted researchers in several fields including Information Retrieval and ...
Cossu, Jean-Valère +2 more
core +1 more source
Thickness‐Dependent Skyrmion Evolution in Fe3GeTe2 During Magnetization Reversal
Thickness‐ and field‐dependent magnetic domain behavior in 2D van der Waals Fe3GeTe2 is studied using Lorentz TEM and micromagnetic simulations. A patch‐like domain phase evolves from skyrmions during magnetization reversal, and step edges between thickness regions act as pinning sites.
Jennifer Garland +9 more
wiley +1 more source
Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) tries to predict the polarity of a given document with respect to a given aspect entity. While neural network architectures have been successful in predicting the overall polarity of sentences, aspect-specific ...
Hui, Siu Cheung, Luu, Anh Tuan, Tay, Yi
core +1 more source
A Human Neural Tube Model Using 4D Self‐Folding Smart Scaffolds
Induced pluripotent stem cells (iPSCs) exhibit features comparable to the inner cell mass of the human embryo. iPSCs are applied to a novel self‐folding 4D‐Neural Tube (4D‐NT) structure that mimics the neurulation process. This 4D‐NT model recapitulates early events of human neural development and represents a platform to explore neurodevelopmental ...
Claudia Dell'Amico +8 more
wiley +1 more source
A Comprehensive Survey on Aspect Based Sentiment Analysis
Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information about the context than general sentiment analysis.
openaire +2 more sources
Adequate thickness of the uterine lining is crucial for women with thin or damaged endometrium to achieve pregnancies. Endometrial mesenchymal stem cells (eMSC) can facilitate the cyclical repair and regeneration of the human endometrium. In this study, the human endometrium derived extracellular matrix hydrogel supports the growth of eMSC promoting ...
Jingwen Xu +9 more
wiley +1 more source

