Results 51 to 60 of about 12,697 (162)

Aspect-Based Sentiment Analysis Through EDU-Level Attentions

, 2022
Accepted in ...
Lin, Ting, Sun, Aixin, Wang, Yequan
openaire   +2 more sources

Arabic aspect sentiment polarity classification using BERT

Journal of Big Data, 2022
Aspect-based sentiment analysis (ABSA) is a textual analysis methodology that defines the polarity of opinions on certain aspects related to specific targets. The majority of research on ABSA is in English, with a small amount of work available in Arabic.
Mohammed M. Abdelgwad, Taysir Hassan A. Soliman, Ahmed I. Taloba   +2 more
doaj   +1 more source

Aspect Based Sentiment Analysis Marketplace Product Reviews Using BERT, LSTM, and CNN

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
Bukalapak is one of the largest marketplaces in Indonesia. Reviews on Bukalapak are only in the form of text, images, videos, and stars without any special filters. Reading and analyzing manually makes it difficult for potential buyers. To help with this,
Syaiful Imron, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo   +3 more
doaj   +1 more source

Aspect based Sentiment Analysis of Employee’s Review Experience

Journal of Information Systems Engineering and Business Intelligence, 2020
Background: Employees of technology companies evaluate their experience through online reviews. Online reviews of companies from employees or former employees help job seeker to find out the weaknesses and strengths of the companies.
Nasa Zata Dina, Nyoman Juniarta
doaj   +1 more source

Survey on aspect detection for aspect-based sentiment analysis

Artificial Intelligence Review, 2022
Sentiment analysis is an important tool to automatically understand the user-generated content on the Web. The most fine-grained sentiment analysis is concerned with the extraction and sentiment classification of aspects and has been extensively studied in recent years.
Maria Mihaela Truşcǎ, Flavius Frasincar   +1 more
openaire   +1 more source

Modern Approaches to Aspect-Based Sentiment Analysis

Труды Института системного программирования РАН, 2018
The paper presents a survey of methods solving the actual task of aspect-based sentiment analysis. Solutions for this task were proposed at multiple natural language processing conferences.
I. . Andrianov, V. . Mayorov, D. . Turdakov   +2 more
doaj   +1 more source

Generative Aspect Sentiment Quad Prediction with Self-Inference Template

Applied Sciences
Aspect Sentiment Quad Prediction is a research topic of paramount significance and complexity within the Aspect-Based Sentiment Analysis task. Leveraging the generative paradigm of the T5 model, we achieve end-to-end extraction of aspect sentiment ...
Yashi Qin, Shu Lv
doaj   +1 more source

Hierarchical Gated Deep Memory Network With Position-Aware for Aspect-Based Sentiment Analysis

IEEE Access, 2020
Aspect-based sentiment analysis aims at identifying the sentiment polarity of specific aspect in the sentence. Previous work has realized the importance of the information interaction between aspect term and context.
Zebing Jia, Xiuxiu Bai, Shanmin Pang
doaj   +1 more source

Multi-Granular Aspect Aggregation in Aspect-Based Sentiment Analysis [PDF]

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014
Aspect-based sentiment analysis estimates the sentiment expressed for each particular aspect (e.g., battery, screen) of an entity (e.g., smartphone). Different words or phrases, however, may be used to refer to the same aspect, and similar aspects may need to be aggregated at coarser or finer granularities to fit the available space or satisfy user ...
John Pavlopoulos, Ion Androutsopoulos
openaire   +1 more source

Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations

Proceedings of the AAAI Conference on Artificial Intelligence
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 ...
Ouyang, Jihong, Yang, Zhiyao, Liang, Silong, Wang, Bing, Wang, Yimeng, Li, Ximing   +5 more
openaire   +2 more sources