Results 81 to 90 of about 23,660,558 (336)
RoBERTa-GRU: A Hybrid Deep Learning Model for Enhanced Sentiment Analysis
Applied Sciences, 2023 This paper proposes a novel hybrid model for sentiment analysis. The model leverages the strengths of both the Transformer model, represented by the Robustly Optimized BERT Pretraining Approach (RoBERTa), and the Recurrent Neural Network, represented by ...
Kian Long Tan, C. Lee, K. Lim
semanticscholar +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Arabic Text
Journal of Intelligent Systems, 2020 Sentiment analysis aims to predict sentiment polarities (positive, negative or neutral) of a given piece of text. It lies at the intersection of many fields such as Natural Language Processing (NLP), Computational Linguistics, and Data Mining. Sentiments
Elfaik Hanane, Nfaoui El Habib
doaj +1 more source
Refined Global Word Embeddings Based on Sentiment Concept for Sentiment Analysis
IEEE Access, 2021 Sentiment Analysis is an important research direction of natural language processing, and it is widely used in politics, news and other fields. Word embeddings play a significant role in sentiment analysis.
Yabing Wang +5 more
doaj +1 more source
Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold [PDF]
, 2013 Sentiment analysis over Twitter offers organisations and individuals a fast and effective way to monitor the publics' feelings towards them and their competitors.
Alani, Harith +3 more
core +1 more source
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Molecular Oncology, EarlyView.Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon
Complexity, 2021 Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Sentiment lexicon is an essential tool for sentiment analysis.
Maokang Du, Xiaoguang Li, Longyan Luo
doaj +1 more source
Financial Sentiment Analysis: Techniques and Applications
ACM Computing SurveysFinancial Sentiment Analysis (FSA) is an important domain application of sentiment analysis that has gained increasing attention in the past decade. FSA research falls into two main streams.
Kelvin Du +3 more
semanticscholar +1 more source
Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning
Wireless personal communications, 2023 Social media platforms such as Twitter and Facebook have become popular channels for people to record and express their feelings, opinions, and feedback in the last decades.
Yik Yang Tan +4 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source