Syntax-enhanced aspect-based sentiment analysis with multi-layer attention

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ALCCABCPC" target="_blank" >RIV/00216208:11320/23:LCCABCPC - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0925231223008536" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0925231223008536</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.neucom.2023.126730" target="_blank" >10.1016/j.neucom.2023.126730</a>

Result language

angličtina

Original language name

Syntax-enhanced aspect-based sentiment analysis with multi-layer attention

Original language description

"As a key task of fine-grained sentiment analysis, aspect-based sentiment analysis aims to analyse people’s opinions at the aspect level from user-generated texts. Various sub-tasks have been defined according to different scenarios, extracting aspect terms, opinion terms, and the corresponding sentiment. However, most existing studies merely focus on a specific sub-task or a subset of sub-tasks, having many complicated models designed and developed. This hinders the practical applications of aspect-based sentiment analysis. Therefore, some unified frameworks are proposed to handle all the subtasks, but most of them suffer from two limitations."

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

"Neurocomputing"

ISSN

0925-2312

e-ISSN

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Volume of the periodical

557

Issue of the periodical within the volume

7

Country of publishing house

US - UNITED STATES

Number of pages

17

Pages from-to

1-17

UT code for WoS article

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EID of the result in the Scopus database

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