Results 81 to 90 of about 42,686,202 (279)
TextCNN with Attention for Text Classification
CoRR, 2021 The vast majority of textual content is unstructured, making automated classification an important task for many applications. The goal of text classification is to automatically classify text documents into one or more predefined categories. Recently proposed simple architectures for text classification such as Convolutional Neural Networks for ...
openaire +3 more sources
The Role of Text Pre-processing in Sentiment Analysis [PDF]
, 2013 It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining ...
Liu, X +8 more
core +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
A novel two stage scheme utilizing the test set for model selection in text classification [PDF]
, 2005 Text classification is a natural application domain for semi-supervised learning, as labeling documents is expensive, but on the other hand usually an abundance of unlabeled documents is available.
Pfahringer, Bernhard +2 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction/Objective Acute intracranial stenting during endovascular thrombectomy (EVT) for ischemic stroke requires intraprocedural antiplatelet therapy (APT) to maintain patency. However, the hemorrhagic risk of combining APT with intravenous thrombolysis (IVT) remains uncertain.
Aaron Rodriguez‐Calienes +75 more
wiley +1 more source
High performance latent dirichlet allocation for text mining [PDF]
, 2013 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Latent Dirichlet Allocation (LDA), a total probability generative model, is a three-tier Bayesian model. LDA computes the latent topic structure of the data
Liu, Zelong
core +4 more sources
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
Using Lexical Knowledge in Text Classification
, 1998 This paper describes several experiments in text classification using WordNet, a rich source of lexical background knowledge available in the public domain.
Text Classification +3 more
core
Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky +5 more
wiley +1 more source