Results 41 to 50 of about 14,029 (259)
Sentiment Classification Method Based on BLSTM and Aspect Attention Module [PDF]
Aspect-Based Sentiment Analysis(ABSA) has been widely used in text information mining,but can hardly extract accurate feature information when the sentiment polarity of a sentence is fuzzy or a sentence has sentiment polarities of multiple aspects,which ...
PENG Zhuliang, LIU Bowen, FAN Cheng'an, WANG Jie, XIAO Ming, LIAO Zeen
doaj +1 more source
A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in natural language processing (NLP). Individuals, private and government institutions are increasingly using media sources for decision making.
Jaafar Zubairu Maitama +4 more
doaj +1 more source
Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review
The emergence of various e-commerce sites has led to an increase in review sites for various services and products. People nowadays easily get information about products and services that will be used through reviews.
Komang Wahyu Trisna, Huang Jin Jie
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A Systematic Mapping Study of the Empirical Explicit Aspect Extractions in Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is described as one of the most vibrant research areas over the last decade. However, due to the exponential increase in aspect-based sentiment researches, there is a massive interest in advanced explicit aspect ...
Jaafar Zubairu Maitama +2 more
doaj +1 more source
Survey of Aspect-based Sentiment Analysis Datasets
Aspect-based sentiment analysis (ABSA) is a natural language processing problem that requires analyzing user-generated reviews to determine: a) The target entity being reviewed, b) The high-level aspect to which it belongs, and c) The sentiment expressed toward the targets and the aspects.
Siva Uday Sampreeth Chebolu +3 more
openaire +2 more sources
Aspect-Based Sentiment Analysis Based on Aspect-Part-Of-Speech Perception [PDF]
Aspect-Based Sentiment Analysis(ABSA) is a research focal point in natural language processing, whose task is to predict the emotional polarity of a given aspect in a sentence. Currently, most studies have overlooked the role of aspect words and specific
Weihuan XIA, Liefa LIAO, Shouxin ZHANG, Yanqin ZHANG
doaj +1 more source
Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
wiley +1 more source
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
Aspect-based sentiment analysis (ABSA), a fine-grained sentiment classification task, has received much attention recently. Many works investigate sentiment information through opinion words, such as "good'' and "bad''. However, implicit sentiment data widely exists in the ABSA dataset, whose sentiment polarity is hard to determine due to the lack of ...
Jihong Ouyang +5 more
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Supervised Methods for Aspect-Based Sentiment Analysis [PDF]
In this paper, we present our contribution in SemEval2014 ABSA task, some supervised methods for Aspect-Based Sentiment Analysis of restaurant and laptop reviews are proposed, implemented and evaluated. We focus on determining the aspect terms existing in each sentence, finding out their polarities, detecting the categories of the sentence and the ...
Hussam Hamdan +2 more
openaire +1 more source
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom +15 more
wiley +1 more source

