Results 61 to 70 of about 554,719 (285)
Mitochondrial DNA disorders in neuromuscular diseases in diverse populations
Abstract Neuromuscular features are common in mitochondrial DNA (mtDNA) disorders. The genetic architecture of mtDNA disorders in diverse populations is poorly understood. We analysed mtDNA variants from whole‐exome sequencing data in neuromuscular patients from South Africa, Brazil, India, Turkey and Zambia. In 998 individuals, there were two definite
Fei Gao+34 more
wiley +1 more source
Multi-Strategy Sentiment Analysis of Consumer Reviews Based on Semantic Fuzziness
Since Internet has become an excellent source of consumer reviews, the area of sentiment analysis (also called sentiment extraction, opinion mining, opinion extraction, and sentiment mining) has seen a large increase in academic interest over the last ...
Ying Fang, Hai Tan, Jun Zhang
doaj +1 more source
Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Arabic Text
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
Phenotyping Healthcare Use 2–3 Decades Before the First Multiple Sclerosis Demyelinating Event
ABSTRACT Objective Phenotype hospital, physician, and emergency department (ED) visits by diagnoses and specialty up to 29 years pre‐multiple sclerosis (MS) onset versus a matched population without MS. Methods We identified people with MS (PwMS) using population‐based administrative data from Ontario, Canada (1991–2020).
Helen Tremlett+8 more
wiley +1 more source
Enhancing implicit sentiment analysis via knowledge enhancement and context information
Sentiment analysis (SA) is a vital research direction in natural language processing (NLP). Compared with the widely-concerned explicit sentiment analysis, implicit sentiment analysis (ISA) is more challenging and rarely studied due to the lack of ...
Yanying Mao, Qun Liu, Yu Zhang
doaj +1 more source
Sentiment analysis and prediction model based on Chinese government affairs microblogs
Existing sentiment analysis research on Chinese government affairs microblogs primarily focuses on the task of sentiment classification on microblogs. There has been a lack of investigation into the correlation of each government affairs microblog with ...
Meng Li, Yucheng Shi
doaj
The role of idioms in sentiment analysis [PDF]
AbstractIn this paper we investigate the role of idioms in automated approaches to sentiment analysis. To estimate the degree to which the inclusion of idioms as features may potentially improve the results of traditional sentiment analysis, we compared our results to two such methods.
Irena Spasic+4 more
openaire +2 more sources
Correlation Between Irisin and Cognitive Functions in Alzheimer Dementia
ABSTRACT Objective The myokine irisin, a recent positive mediator of exercise in the brain, shows neuroprotective functions against Alzheimer's disease (AD). The association between irisin and cognition has never been explored in a biologically defined cohort of patients.
Patrizia Pignataro+12 more
wiley +1 more source
Sentiment Analysis for Exploratory Data Analysis
In this lesson you will learn to conduct 'sentiment analysis' on texts and to interpret the results. This is a form of exploratory data analysis based on natural language processing.
Zoë Wilkinson Saldaña
doaj
Automatic Dream Sentiment Analysis [PDF]
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments.
De Koninck, Joseph+4 more
core