Results 51 to 60 of about 448,200 (183)

Sentence-Level Aspect-Based Sentiment Analysis for Classifying Adverse Drug Reactions (ADRs) Using Hybrid Ontology-XLNet Transfer Learning

open access: yesIEEE Access, 2021
This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for sentence-level aspects. The main objective of the proposed approach allows discovering user social data considering the extracted in-depth inference about ...
Asmaa Hashem Sweidan   +2 more
doaj   +1 more source

Generating Complement Data for Aspect Term Extraction with GPT-2

open access: yesWorkshop on Deep Learning Approaches for Low-Resource Natural Language Processing, 2022
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Amir Pouran Ben Veyseh   +2 more
semanticscholar   +1 more source

Multi-Grained Attention Representation With ALBERT for Aspect-Level Sentiment Classification

open access: yesIEEE Access, 2021
Aspect-level sentiment classification aims to solve the problem, which is to judge the sentiment tendency of each aspect in a sentence with multiple aspects.
Yuezhe Chen   +3 more
doaj   +1 more source

PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction [PDF]

open access: yesProceedings of the 28th International Conference on Computational Linguistics, 2020
يتعلم تضمين الكلمات القائم على سياق التبعية بشكل مشترك تمثيلات سياق الكلمة والتبعية، وقد ثبتت فعاليته في استخراج المصطلح الجانبي. في هذه الورقة، نقوم بتصميم تضمين الكلمات القائم على التبعية الموضعية (POD) الذي يأخذ في الاعتبار كل من سياق التبعية والسياق الموضعي لاستخراج المصطلح الجانبي. على وجه التحديد، يتم نمذجة السياق الموضعي عبر ترميز الموضع النسبي.
Yichun Yin, Chenguang Wang, Ming Zhang
openaire   +2 more sources

Part-of-speech based label update network for aspect sentiment triplet extraction

open access: yesJournal of King Saud University: Computer and Information Sciences
Aspect sentiment triplet analysis (ASTE) is a nuanced task that entails the extraction of all triplets from a user comment, where each triplet consist of an aspect term, an opinion term, and the associated sentiment polarity of the aspect term.
Yanbo Li, Qing He, Liu Yang
doaj   +1 more source

A Multitask Multiview Neural Network for End-to-End Aspect-Based Sentiment Analysis

open access: yesBig Data Mining and Analytics, 2021
The aspect-based sentiment analysis (ABSA) consists of two subtasks'aspect term extraction and aspect sentiment prediction. Existing methods deal with both subtasks one by one in a pipeline manner, in which there lies some problems in performance and ...
Yong Bie, Yan Yang
doaj   +1 more source

Deep Learning Model for Fine-Grained Aspect-Based Opinion Mining

open access: yesIEEE Access, 2020
Despite the great manufactures' efforts to achieve customer satisfaction and improve their performance, social media opinion mining is still on the fly a big challenge.
Ahmed R. Abas   +3 more
doaj   +1 more source

Impact of preservation method and storage period on ribosomal metabarcoding of marine microbes: Implications for remote automated samplings

open access: yesFrontiers in Microbiology, 2022
Automated sampling technologies can enhance the temporal and spatial resolution of marine microbial observations, particularly in remote and inaccessible areas.
Matthias Wietz   +13 more
doaj   +1 more source

Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources

open access: yesScientific Reports, 2021
When populations share common-pool resources (CPRs), individuals decide how much effort to invest towards resource extraction and how to allocate this effort among available resources.
Andrew Schauf, Poong Oh
doaj   +1 more source

Domain adaptive English aspect word extraction method based on bidirectional long and short-term memory network and multi-head attention mechanism

open access: yesJournal of Applied Science and Engineering
English aspect word extraction is a core task of aspect level sentiment analysis. With the continuous development of social networks, more users tend to make decisions based on comment text, and pay more attention to the details of comment text ...
Tianxiao Wang
doaj   +1 more source

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