Results 291 to 300 of about 446,831 (348)

Evaluating mobile app performance through sentiment analysis with SimCLR and MobileBERT. [PDF]

PLoS One
Zhang R, Ullah A, Khan KU, Khan MN, Chohan RT, Aadil F.   +5 more
europepmc   +1 more source

Student and staff experiences of interactive digital models when learning animal anatomy

Anatomical Sciences Education, EarlyView.
Abstract Compared to human medical sciences, digital models of animals are rare, often behind subscription services and are comparatively lacking in interactivity and accessibility features. This study explores how digital models are currently being used to teach animal anatomy, providing the data required to construct the best anatomical models ...
Alice Leavey, Sarah Channon
wiley   +1 more source

Interpretable ESG-sentiment hybrid deep learning for asset return forecasting with quantified interactions and latency-aware deployment. [PDF]

Sci Rep
Mishra S, Mayaluri ZL, Liew CY, Sahoo PK, Samantaray AK.   +4 more
europepmc   +1 more source

TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna. [PDF]

Sci Rep
Gebremeskel HG, Feng C, Abera AM, Binegde GN.   +3 more
europepmc   +1 more source

Mapping the digital determinants of health: a machine learning analysis of YouTube narratives on child undernutrition in Pakistan. [PDF]

J Glob Health
Shahid M, Song J, Ali Z, Naveed HM, Yuksel S, Dincer H.   +5 more
europepmc   +1 more source

TDGN: A text-guided dual-gated network for multimodal sentiment analysis. [PDF]

PLoS One
Xiao W, Zhang L, Xu Y.
europepmc   +1 more source

An ensemble-based sentiment analysis approach for precision medicine recommendation. [PDF]

Sci Rep
Mishra A, Bisoy SK, Kollie DS, Priyadarshi R, Ranjan R.   +4 more
europepmc   +1 more source

FCM vectorization for Twitter sentimental analysis using multi stacked BiLSTM. [PDF]

Sci Rep
Gomathi R, Saranya K, Munirathinam T, Karthiga M.   +3 more
europepmc   +1 more source

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Aspect Based Sentiment Analysis

2024 5th International Conference for Emerging Technology (INCET)
Aspect Based Sentiment Analysis (ABSA) systems receive as input a set of texts (e.g.,product reviews or messages from social media) discussing a particular entity (e.g., anew model of a mobile phone). The systems attempt to detect the main (e.g., the mostfrequently discussed) aspects (features) of the entity (e.g., ‘battery’, ‘screen’) and toestimate ...
Vijayalaxmi V. Tadkal, Shivaleela Patil, Suman A. Patil   +2 more
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Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis

Information Fusion
Luwei Xiao, Xingjiao Wu, Cheng Jin
exaly   +2 more sources