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SemEval-2016 Task 5: Aspect Based Sentiment Analysis [PDF]

Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016
Este documento describe la tarea compartida SemEval 2016 sobre Análisis de Sentimiento Basado en Aspectos (Absa), una continuación de las tareas respectivas de 2014 y 2015. En su tercer año, la tarea proporcionó 19 conjuntos de datos de capacitación y 20 de prueba para 8 idiomas y 7 dominios, así como un procedimiento de evaluación común.
Pontiki, Maria, Galanis, Dimitris, Papageorgiou, Haris, Androutsopoulos, Ion, Manandhar, Suresh, Al-Smadi, Mohammad, Al-Ayyoub, Mahmoud, Zhao, Yanyan, Qin, Bing, De Clercq, Orphée, Hoste, Véronique, Apidianaki, Marianna, Tannier, Xavier, Loukachevitch, Natalia, Kotelnikov, Evgeniy, Bel, Nuria, Bel Rafecas, Núria, Jiménez-Zafra, Salud María, Eryiğit, Gülşen   +18 more
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Aspect-Based Sentiment Analysis

International Journal For Multidisciplinary Research, 2023
Aspect-Based Sentiment Analysis (ABSA) is an advanced NLP application that aims to identify aspect terms present in the given review and predict the sentiment associated with those aspect terms. ABSA is better than sentence-based sentiment classification because it considers the aspect terms present in the reviews to determine the sentiment rather than
A. Punitha -, R. Keerthi Prabu -, P. Devanathan -, A. Sanjai -, P. Bala -   +4 more
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Towards Generative Aspect-Based Sentiment Analysis [PDF]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2021
Aspect-based sentiment analysis (ABSA) has received increasing attention recently. Most existing work tackles ABSA in a discriminative manner, designing various task-specific classification networks for the prediction. Despite their effectiveness, these methods ignore the rich label semantics in ABSA problems and require extensive task-specific designs.
ZHANG, Wenxuan, LI, Xin, DENG, Yang, BING, Lidong, LAM, Wai   +4 more
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Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing (NLP) task that extracts referred aspects from text and assigns polarities to opinions about those aspects. Most research on ABSA focuses on English.
Émerson Philippe Lopes, Larissa Freitas, Gabriel Gomes, Gerônimo Lemos, Luiz Otávio Hammes, Ulisses B. Corrêa   +5 more
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ALBERTC-CNN Based Aspect Level Sentiment Analysis

IEEE Access, 2021
In order to solve the problem that most aspect level sentiment analysis networks cannot extract the global and local information of the context at the same time.
Xingxin Ye, Yang Xu, Mengshi Luo
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Aspect-based Sentimental Analysis for Travellers’ Reviews

SSRN Electronic Journal, 2023
Airport service quality evaluation is commonly found on social media, including Google Maps. This valuable for airport management in order to enhance the quality of services provided. However; prior studies either provide general review for topics discussed by travellers or provide sentimental value to tag the entire review without specifically ...
Alaydaa, Mohammed Saad M, Li, Jun, Jinkins, Karl   +2 more
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“Harnessing Customer Feedback for Product Recommendations: An Aspect-Level Sentiment Analysis Framework”

Human-Centric Intelligent Systems, 2023
This research paper presents a novel approach for recommending products to customers based on their cared aspects by performing sentiment analysis on customer feedback.
Nimesh Bali Yadav
doaj   +1 more source

Arabic Aspect-Based Sentiment Classification Using Seq2Seq Dialect Normalization and Transformers

Knowledge, 2022
Sentiment analysis is one of the most important fields of natural language processing due to its wide range of applications and the benefits associated with using it.
Mohammed ElAmine Chennafi, Hanane Bedlaoui, Abdelghani Dahou, Mohammed A. A. Al-qaness   +3 more
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NOVEL MULTI-LEVEL ASPECT BASED SENTIMENT ANALYSIS FOR IMPROVED ROOT-CAUSE ANALYSIS

ICTACT Journal on Soft Computing, 2021
Aspect extraction and sentiment identification are the two important tasks to provide effective root cause analysis. This work presents a Multi-Level Aspect based Sentiment Analysis (MLASA) model that integrates the aspect extraction and sentiment ...
Naveenkumar Seerangan, Vijayaragavan Shanmugam   +1 more
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A Multi-Task Dual-Encoder Framework for Aspect Sentiment Triplet Extraction

IEEE Access, 2022
Aspect Sentiment Triplet Extraction (ASTE) is a complex and important task in aspect-based sentiment analysis task, which aims to extract aspect-sentiment-opinion triplets from review sentences, to acquire comprehensive information for sentiment analysis.
Hai Huan, Zichen He, Yaqin Xie, Zelin Guo   +3 more
doaj   +1 more source