Results 71 to 80 of about 329,825 (278)
Modern Approaches to Aspect-Based Sentiment Analysis
Труды Института системного программирования РАН, 2018 The paper presents a survey of methods solving the actual task of aspect-based sentiment analysis. Solutions for this task were proposed at multiple natural language processing conferences.
I. . Andrianov +2 more
doaj +1 more source
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Mining of product reviews at aspect level
, 2014 Todays world is a world of Internet, almost all work can be done with the help of it, from simple mobile phone recharge to biggest business deals can be done with the help of this technology.
Jain, Rekha +2 more
core +1 more source
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
Generative Aspect Sentiment Quad Prediction with Self-Inference Template
Applied SciencesAspect Sentiment Quad Prediction is a research topic of paramount significance and complexity within the Aspect-Based Sentiment Analysis task. Leveraging the generative paradigm of the T5 model, we achieve end-to-end extraction of aspect sentiment ...
Yashi Qin, Shu Lv
doaj +1 more source
Basic tasks of sentiment analysis
, 2017 Subjectivity detection is the task of identifying objective and subjective sentences. Objective sentences are those which do not exhibit any sentiment.
DM Blei +20 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source
Hierarchical Gated Deep Memory Network With Position-Aware for Aspect-Based Sentiment Analysis
IEEE Access, 2020 Aspect-based sentiment analysis aims at identifying the sentiment polarity of specific aspect in the sentence. Previous work has realized the importance of the information interaction between aspect term and context.
Zebing Jia, Xiuxiu Bai, Shanmin Pang
doaj +1 more source
SIEL: Aspect Based Sentiment Analysis in Reviews [PDF]
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015 Following the footsteps of SemEval-2014 Task 4 (Pontiki et al., 2014), SemEval-2015 too had a task dedicated to aspect-level sentiment analysis (Pontiki et al., 2015), which saw participation from over 25 teams. In Aspectbased Sentiment Analysis, the aim is to identify the aspects of entities and the sentiment expressed for each aspect.
Satarupa Guha +2 more
openaire +1 more source
CANÉPHORE : un corpus français pour la fouille d'opinion ciblée [PDF]
, 2015 National audienceAspect-based sentiment analysis knows a renewed interest these last years, according to recent opinion mining evaluation series (SemEval 2014 and 2015, DEFT 2015). However, publicly available evaluation resources are scarse.
Lark, Joseph +2 more
core +1 more source