Results 11 to 20 of about 60,577 (257)
Sentiment Analysis on Social Media with Glove Using Combination CNN and RoBERTa
Twitter is a popular social media platform that allows users to share short message’s opinion and engage in real-time conversations on a wide range of topics known as tweet.
Diaz Tiyasya Putra, Erwin Budi Setiawan
doaj +1 more source
Potrzeby szkoleniowe doradców zawodowych – wyniki ogólnopolskich badań ankietowych [PDF]
The article presents the results of a nationwide survey conducted by the Association of School and Vocational Counsellors of the Republic of Poland in cooperation with the Education Development Center in Warsaw on the training needs of career counsellors
Ewa Dębska +3 more
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High-resolution hydroacoustic datasets for over 7000 km2 of Southern Baltic [PDF]
This study presents high-resolution hydroacoustic datasets covering over 7000 km2 of Polish Marine Areas in the Southern Baltic, acquired between April 2022 and December 2023 as part of a national initiative to map benthic habitats using advanced sonar ...
Ł. Janowski +44 more
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SummaryThis is a hundred words for a special section dedicated to Kathleen Stewart. I want her and everyone who reads it to have a good time and for nothing bad to happen.
openaire +1 more source
Wydawnictwo Naukowe Scholar, Warszawa, 2014.
Anna Domaradzka
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Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification
Sentiment classification is a natural language processing task to identify opinions expressed in texts such as product or service reviews. In this work, we analyze the effects of different deep-learning model combinations, embedding methods, and ...
Ali Erkan, Tunga Gungor
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This research presents a comprehensive analysis of the spatial extent and temporal change in benthic habitats within the Puck Lagoon in the southern Baltic Sea, utilizing integrated machine learning classification and multi-sourced remote sensing. Object-
Łukasz Janowski +7 more
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INFLUENCE OF DATA AUGMENTATION ON NAMED ENTITY RECOGNITION USING TRANSFORMER-BASED MODELS
Transformer-based models have demonstrated their effectiveness for natural language processing tasks. Training these models requires huge amounts of textual data.
Bohdan Pavlyshenko, I. Drozdov
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Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source

